Lance Taylor (1940–2022): Reconstructing Macroeconomics

IF 3 2区 社会学 Q1 DEVELOPMENT STUDIES
Servaas Storm
{"title":"Lance Taylor (1940–2022): Reconstructing Macroeconomics","authors":"Servaas Storm","doi":"10.1111/dech.12777","DOIUrl":null,"url":null,"abstract":"<p>On 15 August 2022, Lance Taylor, the towering structuralist macroeconomist and a thinker of uncommon breadth, sadly passed away. His work, spanning almost six decades, stands out for its originality, creativity, (policy) relevance and theoretical rigour as well as for its fearless commitment to speak truth to power in academic and policy-making circles. This essay reviews Taylor's progression from an early development planner to a radical Keynesian macroecono-mist on a mission to reconstruct a failing mainstream macroeconomics and build a relevant, practical ‘structuralist’ alternative, grounded in real-world stylized facts and of benefit to broad-based and sustainable economic progress. Lance Taylor will be missed but, as this essay aims to demonstrate, his legacy will live on, through his prolific writings and through generations of heterodox economists who were mentored by him or have been influenced by his work.</p><p>Lance Taylor once painted the following picture of the ‘ideal’ macroeconomist: ‘Ideally, one ought to be able to teach macroeconomics at the university in the morning, advise the Minister on how to apply macroeconomics in the afternoon, and write scholarly papers on macroeconomics at night, all the while practising the same craft’ (Taylor, <span>1988a</span>: 25).1 When he wrote this, Taylor probably had John Maynard Keynes in mind — the British economist who revolutionized economics and economic policy making in the 1930s — but as a matter of fact, he came very close to this ‘ideal’ himself.</p><p>Fast forward to Özlem Ömer, for whom Taylor acted as unofficial advisor for her 2018 PhD thesis (40 years after Darity), who writes: ‘We exchanged thousands of detailed emails, through which I learned his approach to macroeconomic theory …. He was incredibly patient and kind. … Lance's responses were immediate and thoughtful — no matter the time of the day. He didn't want to waste any time because he had so much to share, to write and to teach’ (Ömer, <span>2022</span>: 174–75). Email had replaced the scribbled notes, but otherwise things stayed exactly the same. Interestingly, and consistent with his dissenting position within the economics profession, Taylor's office was not located in the building that housed the MIT Economics Department, but rather in the old, rambling, wooden building that housed the MIT Food and Nutrition Department. His office, door generally open, did indeed have a hammock and was full of books, reports and papers — while visitors, reportedly, would also often meet his Saint Bernard dog which he brought along to work.</p><p>When it comes to ‘advising the Minister’, Lance Taylor gave counsel to governments all over the globe, starting with Chile in 1968–69, and including Brazil, Egypt, India, Pakistan, Portugal, Nigeria, South Africa, Thailand and others. In fact, Taylor's students found it difficult to name a country he had not been to. Taylor made it a practice to collaborate with economists from the country concerned, often former students. He deeply disliked the ‘foreigners who fly in with policy packages for developing and post-socialist countries [and particularly those who] staff two international agencies — the World Bank and the International Monetary Fund (IMF)’ (Taylor, <span>1997</span>: 145). He complained that: ‘Their staff members are grossly over-paid in comparison to their counterparts in developing countries. … When on missions they interact with each other more than with the economists of the country they happen to be visiting, and they communicate virtually only among themselves in the office’ (ibid.: 152).</p><p>And last but by no means least, Taylor's scholarly output (presumably written at night) is impressive. By my (imperfect) count, he published eight weighty monographs, co-authored and edited around 10 books, and published hundreds of journal articles, working papers and book chapters during an academic career spanning almost six decades. On top of this, Taylor was the editor-in-chief of the <i>Journal of Development Economics</i> from 1976 to 1984, where he managed to create a high-quality publication window for economists from a variety of opposing schools of thought — a window that sadly closed after he retired from the editorial board. During the late 1980s and 1990s, Taylor was pivotal in organizing and leading various projects at the World Institute for Development Economics Research (WIDER), which provided substantive critiques of the orthodox IMF macro stabilization packages and World Bank structural adjustment programmes that were deeply damaging many countries in the developing world. He was also the recipient of prestigious prizes and gave special lectures, including the Marshall Lecture in 1986–87 (Taylor, <span>1988a</span>), at the University of Cambridge, and the V.K. Ramaswami Lecture at the Delhi School of Economics in 1988 (Taylor, <span>1988b</span>).</p><p>It is worthy of note that Yvonne and Lance Taylor donated their farm as a conservation easement in order to protect and preserve it as a natural reserve for future generations.</p><p>Whatever his talents as a part-time farmer, however, Lance Taylor will be remembered principally as an accomplished practitioner of economics and a policy advisor who was equally skilled with abstract economic theory, complex modelling approaches, political economy analyses and pragmatic planning. It is impossible to do justice to his many contributions to macro- and development economics; in this essay, I single out key contributions, against the background of his academic biography.4</p><p>Lance Jerome Taylor was born on 25 May 1940 in Montpelier, a small town in rural Idaho, where his parents ran the local weekly newspaper (Taylor, <span>2000</span>). He received a BSc with honours in mathematics from the California Institute of Technology5 in 1962, but decided not to continue in science, because ‘I have minimal mechanical talent and thereby could not be an experimentalist, while I was not quick enough at mathematics to do theory’ (ibid.: 665). A ‘marvellous course in macroeconomics’ by Alan Sweezy (a left-Keynesian economist and the older brother of Paul Sweezy6), who gave his students Keynes’ <i>General Theory</i> to read, persuaded him to go into economics. ‘I think in retrospect that it sunk into some place deep down in my subconscious’, said Taylor, adding that, ‘Basically, I got into economics because of him’ (quote from Lavoie, <span>2015</span>: 250).</p><p>Following a Fulbright scholarship year at Lund University in Sweden, where he married Yvonne in 1963, Taylor worked on his PhD under the supervision of Hollis Burnley Chenery, who was a student of Wassily Leontief and a pioneer in using input-output analysis for development planning. According to Taylor (<span>2000</span>: 666): ‘[Chenery] passed along his practical view that economics should be applied to help poor people in poor countries, and also displayed a relatively open attitude towards dissent (many of the Harvard graduate students tending toward radicalism in the 1960s received a modicum of intellectual protection from him)’. Taylor did not view himself as a left-Keynesian economist at that time (Lavoie, <span>2015</span>); he just wanted to ‘apply economics to help poor people in poor countries’ — quite in line with Chenery's American liberal Democratic leanings.</p><p>Using formal econometric methods, Taylor's PhD thesis analysed how sectoral production structures changed as economic development proceeded, which led to early papers on patterns of growth in <i>The Review of Economics and Statistics</i> (Chenery and Taylor, <span>1968</span>), and <i>The Quarterly Journal of Economics</i> (Taylor, <span>1969</span>).7 Taylor's work laid (part of) the foundation for Chenery et al.’s (<span>1974</span>) <i>Redistribution with Growth: An Approach to Policy</i> and Chenery and Syrquin's (1975) <i>Patterns of Development, 1950–1970</i>, two influential books on economic development published by the World Bank during the McNamara era.</p><p>After finishing his thesis, Taylor worked in Chile's Planning Office in 1968 and 1969 as part of an advisory mission led by Paul Rosenstein-Rodan; this was just before Allende was elected. In Santiago de Chile he worked on dynamic multisector programming models, publishing technical papers in <i>Econometrica</i> (Kendrick and Taylor, <span>1970</span>) and the <i>Review of Economic Studies</i> (Taylor, <span>1970</span>).8 Looking back, Taylor did not hold these papers in high regard, considering them to be rather standard works.9 In general, he felt that ‘there is no sense in being overwhelmed by algebraic fireworks’ (Taylor, <span>2000</span>: 665). Taylor bundled his expertise on models for development planning, a ‘term that has long since vanished from polite economic discourse’,10 in a widely used book which he co-authored with Charles Blitzer and Peter Clark (Blitzer, Clark and Taylor, <span>1975</span>).</p><p>The experience of living in Chile in 1968–69 proved life-changing. ‘I learned, more or less, how a highly inegalitarian developing country works and got interested in distribution issues when I was there’, Taylor noted (Lavoie, <span>2015</span>: 251). In Chile, he wrote, ‘I derived my basic economic views’. These views were ‘heavily influenced by the structuralist ideas of the Economic Commission for Latin America that in the late 1960s were very much in the Santiago air. ECLA economists, in turn, owed intellectual debts to Kalecki and Kaldor’ (Taylor, <span>2000</span>: 666).</p><p>After teaching for three years at Harvard, Taylor spent 1972 visiting the University of Brasilia, working on a World Bank project11 to construct a computable general equilibrium (CGE) model to analyse why rapid growth went hand-in-hand with regressive distributional change in Brazil. Together with Edmar Bacha, whom he knew well from his work in Chile's Planning Office, Taylor co-authored an influential paper titled ‘The Unequalizing Spiral: A First Growth Model for Belindia’ (Taylor and Bacha, <span>1976</span>). The name ‘Belindia’, coined by Bacha, expressed the dual-economy nature of Brazil — a country in which a small minority of the population lived as well-to-do people did in advanced modern economies, such as Belgium, while the vast majority lived the way that low-income people lived in India. Taylor's team pioneered the construction of CGE models (Taylor, Bacha, Cardoso and Lysy, <span>1980</span>), parallel to similar efforts for South Korea by a team led by Irma Adelman and Sherman Robinson (Adelman and Robinson, <span>1978</span>).12</p><p>It must be mentioned here that publication of the CGE model analysis of Taylor, Bacha, Cardoso and Lysy ‘was held up for more than a year by Alan Walters, then a high-level Bank bureaucrat and later a key advisor to Margaret Thatcher’ (Taylor, <span>2016</span>: 499). Walters found Taylor's modelling approach ‘politically unacceptable’. His unwillingness to publish Taylor's model analysis was no error, however. Consciously or unconsciously, Walters understood that Taylor's work laid the axe at the root of the World Bank's self-image that it was providing neutral, ‘technical’ policy advice to client governments. The point was that Taylor, jointly with Frank Lysy, had offered proof that the newly developed CGE models are not ‘neutral’ policy tools to explore the data or numerically examine the possible repercussions of policy changes or institutional changes (Taylor and Lysy, <span>1979</span>). Rather, these models are, always and everywhere, ‘non-neutral’, that is, they ‘are designed as quantified illustrations of their designers’ conceptions of the economic world. Each model becomes a rhetorical tool, a means to expound in detail its builder's ideas about the key linkages in the “real” economy out there’ (Taylor, <span>1995b</span>: 271).</p><p>Specifically, Taylor and Lysy (<span>1979</span>) show that economists always have to superimpose a particular ‘macroeconomic causal structure’ or ‘<i>closure</i>’ on their model, and the choice of a specific closure rule will affect the way the model works and significantly influence the <i>qualitative</i> character of the model results.13 The reason, as Taylor (<span>2016</span>: 496) explains, is that ‘CGE models are stupid. They do what their closures tell them to do’. In Taylor's view, this does not make CGE modelling useless, but it does imply that the economist building the model has to have an informed prior understanding (a ‘vision’) of the economy in question in order to choose the most appropriate closure rule given the specific historical and institutional context. Taylor is basically restating Keynes’ claim that economists must be <i>vigilant observers</i> and that economics is an art, and not an ersatz natural science: ‘Economics is a science of thinking in terms of models joined to the art of choosing models which are relevant to the contemporary world. … Good economists are scarce because the gift for using “vigilant observation” to choose good models, although it does not require a highly specialised intellectual technique, appears to be a very rare one’ (<span>Keynes, 1938/2012</span>: 297).</p><p>Taylor, who was a master in vigilant observation, learned an important lesson: ‘As my little dust up with Alan Walters exemplifies, politics has always been part of the CGE world, not least in the World Bank which after all is based in Washington DC’ (Taylor, <span>2016</span>: 500). Walters, whose father was a communist and who himself became Mrs Thatcher's ‘finest of friends’, could not stop the publication of Taylor et al. (<span>1980</span>). He nevertheless got his way in the long run, especially after ‘Anne Krueger's palace coup at the World Bank’ (Taylor, <span>2016</span>: 507). From then on, CGE models were widely promoted as ‘neutral policy tools’ by the World Bank and the IMF to advocate their Washington Consensus policies. But as Taylor (ibid.: 496) pointed out, the neoclassical macroeconomic closures of the models used by the World Bank and the World Trade Organization have to an extent been rigged to make them generate the qualitative results that the modellers think they should have. As Taylor (ibid.: 500) wrote: ‘I would argue that some of the Bank's modeling work went beyond research into design of packages aimed to sell the purported benefits of liberalization, but I'll leave that judgment to others’.</p><p>In fact, by assuming full employment, World Bank CGE models would always produce net welfare <i>gains</i> from trade liberalization in any country in any time period, since actual real-world contractionary effects could not occur in these models because of the neoclassical closure chosen (see Kohler and Storm, <span>2017</span>). Raza, Taylor, Tröster and von Arnim (<span>2016</span>) present a structuralist CGE model for the assessment of the Transatlantic Trade and Investment Partnership (TTIP); its key assumptions with regard to the determination of output, income and employment are fundamentally different to the key assumptions of mainstream CGE models — and they arrive at fundamentally different results.</p><p>In retrospect, Taylor's realization in the 1970s that (CGE) modelling is never a neutral exercise, but always involves prior choices — based on ‘vigilant observation’ by the model builder — which affect the model outcomes, provided the foundation and inspiration for all his later work. From then on, he would always explicitly explore how (prior) theoretical choices influence model outcomes and, hence, affect policy recommendations. And he would always justify his choice of a particular closure, given the structural and institutional context of the economy under investigation. The art of doing economics is to make it relevant for the real world.</p><p>During his years in Chile and Brazil, Taylor read widely — ‘Sraffa, Robinson, Kaldor, Kalecki and a lot of anthropology’ (Taylor, <span>2000</span>: 667) — ironically, mostly work by economists based in Cambridge, England.14 Returning from Brasilia to Cambridge, Massachusetts, Taylor joined MIT as a tenured professor in the Departments of Economics and Nutrition in 1973 and became the editor-in-chief of the <i>Journal of Development Economics</i> in 1976. Several themes dominate Taylor's work in the 1970s and 1980s: a focus on industrial structure and structural change; a continuing emphasis on the balance of payments as a central constraint on development; an explicit concern with income distribution (and distributional conflict) as a driver influencing economic growth; and a lack of automatic self-correcting mechanisms to resolve structural imbalances and deal with external shocks. These structural factors impose constraints on economic performance, but may also contribute to economic growth. Taylor's point (in his own words) is that ‘you cannot just describe an economy with production functions, demand and supply functions and maximising this or that, and that instead institutions and history matter’ (Lavoie, <span>2015</span>: 251).</p><p>Taylor developed novel two-sector models of a developing economy, which distinguished between a price-clearing agricultural sector and a demand-determined, quantity-clearing industrial sector and included Engel curves (for consumption demand), to analyse perennial problems of economic development highlighted by Kalecki, Kaldor, Preobrazhensky and Sylos-Labini (Chichilnisky and Taylor, <span>1980</span>). And with Paul Krugman, then an MIT graduate student, Taylor wrote a now classic paper showing that currency depreciations are likely to be contractionary in semi-industrialized economies: after all, in the real world, the increase in import prices (of essential consumer items and capital goods) lowers real incomes and, hence, demand and output, especially if exports are not very sensitive to the exchange rate (Krugman and Taylor, <span>1978</span>). Taylor's work of the 1970s was brought together in his first monograph, <i>Macro Models for Developing Countries</i> (Taylor, <span>1979</span>).</p><p>During the 1970s and 1980s, Taylor deepened his work on CGE models. His 1974 paper written with Stephen J. Black provided the first practical (policy) application of general equilibrium modelling, in the form of a 35-sector model for the Chilean economy (Taylor and Black, <span>1974</span>), based on Leif Johansen's (<span>1964</span>) classic, <i>Multi-sectoral Study of Economic Growth</i>. Solving large-scale non-linear numerical models was no sinecure in a time of expensive, time-consuming, room-sized mainframe computing, and Johansen's solution algorithm, which involved log-linearizing the non-linear equations in the model, was not very efficient. Taylor developed a new and more efficient iterative solution algorithm, involving a combination of Gauss-Seidel and Newton-Raphson methods, that proved very powerful in approximating general-equilibrium outcomes (Taylor, <span>1983</span>). He used the new algorithm to build CGE models for Egypt (Taylor, <span>1982</span>), Pakistan (McCarthy and Taylor, <span>1980</span>) and India (Taylor, Sarkar and Rattsø, <span>1984</span>). The simulations based on the CGE model for Egypt, with a broadly Kaleckian specification, showed that abolishing the existing food subsidies would lead to output contraction and adverse nutritional change. As Taylor recalls: ‘These results did not strike me as surprising, but provoked debate with people opposed to subsidies because of their alleged microeconomic inefficiencies. My report (never published <i>per se</i>) became a <i>mini-cause célèbre</i> when Cairo erupted in food riots after an attempt to end the subsidies in January 1977. Ill-planned distributional shifts can have substantial macroeconomic effects’ (Taylor, <span>2000</span>: 667–68).15</p><p>The models he developed in collaboration with students and colleagues were orientated towards practical development policy issues. These model analyses, centred on distributional conflicts within the structural constraints in terms of productive, export and import, and land ownership structures characteristic of industrializing economies, proved useful to quantify effects of policy changes and forced one to think about the relative importance of different causal chains. Edited collections of these papers were published as Taylor (<span>1990</span>) and Taylor (<span>1993</span>).</p><p>Taylor's <span>1983</span> book provided a synthesis and a first serious attempt at codification of his ‘structuralist’ macroeconomics, both for the short and the long run.16 It contained his pioneering work on models describing the economic interactions between an industrialized North and a primary-resources-exporting South (Taylor, <span>1981</span>), which was heavily influenced by ECLA's structuralism and which, in turn, inspired a cottage industry of North–South analyses in the 1980s (e.g., Conway and Darity <span>1991</span>; Dutt <span>1989a, 1989b</span>). Retaining a modified version of the neo-Keynesian IS-LM model (with exogenous money supply) in parts of the book did not help his overall cause (Bacha, <span>1985</span>). Nevertheless, Taylor's treatment of the foreign-exchange constraint on industrialization and of structuralist inflation models was illuminating, and his chapter 4, which discusses a CGE model for India, was outright brilliant; in the words of Bacha: ‘More than fifteen years of experience in applying multisectoral models in different parts of the developing world are neatly packed by Taylor in no more than thirty pages. All the tricks of the trade are presented in a masterful exposition, which should be a treat for students of development economics and economic planners alike’ (Bacha, <span>1985</span>: 540). Taylor further contributed two (long) chapters to the two-volume first edition of <i>The Handbook of Development Economics</i>, edited by Hollis Chenery and T.N. Srinivasan; the chapters, co-authored by Persio Arida, one of his PhD students, dealt with short-run macroeconomics and long-run income distribution and growth (Taylor and Arida, <span>1988, 1989</span>).</p><p>The monetary tightening in the American Federal Reserve during 1979–81, to combat inflation in the US, triggered debt crises in many (highly indebted) countries in Latin America and Africa. In the aftermath of the global fallout of the Volcker shock, Taylor devoted his work in the 1980s and 1990s to analysing and criticizing stabilization, liberalization and privatization policies which were imposed on developing countries as conditionality for debt relief and financial support by the IMF, the World Bank and the US Treasury. The economies ‘helped’ by these Washington institutions had to undertake drastic measures for fiscal consolidation and trade and capital account liberalization, which contributed to a prolonged recession, rising inequality and poverty, and a lost decade of development in those countries. Under the aegis of WIDER and working with Gerald Helleiner, Taylor organized 18 comparative studies of IMF-sponsored economic stabilization policies in developing countries; the results of the studies are reviewed in Taylor (<span>1988a, 1989</span>) with the aim of identifying alternative stabilization policies that work better than the ones imposed by the IMF.</p><p>(This certainly rings true for the author of this essay, who has spent quite a few hours consumed by the effort of understanding various of Taylor's theoretical models, but in the end always learned massively from these efforts.)</p><p>The 1991 book proved to be Taylor's final act in Cambridge, Massachusetts. Importantly, from a sole focus on developing countries, his emphasis gradually shifted to macroeconomic theory more generally, as applied to both developed and developing countries. Thus, while mainstream economists commonly and unthinkingly apply theories constructed for developed countries to developing-country contexts, Taylor (<span>1991</span>) began to apply his ‘structuralism’ to Northern economies and to the US in particular.</p><p>Over time, Taylor grew increasingly dissatisfied with the extreme emphasis on mainstream economics at MIT (Taylor, <span>2000</span>: 670). He believed that, after 1980, macroeconomics became basically irrelevant: ‘mainstream macroeconomics to a large extent did become a second-rate applied mathematics aimed at problems with minimal social content. A pity’ (Taylor, <span>2010</span>: 253). He decided to leave. ‘Lance set off some shock waves across the profession when, as a full professor, he left MIT, the department at the apex of the profession, to take a position at the New School’, writes Darity (<span>2022</span>), adding that the ‘New School had a distinguished faculty in its own right, but somewhat marginalised because of their commitment to heterodoxy. Lance found the New School to be a far more supportive and inspiring environment for the work he was doing in the final thirty years of his life’. Indeed, his already superlative productivity appears only to have increased after his move.</p><p>At the New School, Taylor worked on a critique of the mindless ‘get the prices right’ structural adjustment programmes imposed by the World Bank on many developing and (then) new transitional countries. Excellent summaries of this critique of trade and capital account liberalization, privatization of public enterprises, deregulation of finance, and fiscal austerity under the umbrella of the Washington Consensus are available in Ocampo and Taylor (<span>1998</span>) and Taylor (<span>1997</span>). As Taylor (<span>1997</span>: 151) pointed out, the IMF and World Bank do not pay for the costs of their policy errors: ‘A [World Bank or IMF] staff member flying home in a chastened frame of mind represents one sort of response to a liberalization attempt which collapsed; a local health worker trying to help malnourished infants recover from the effects of a drastically lower national income is quite another’. As always, Taylor identified policies for progressive redistribution and growth that should replace IMF-World Bank dogma, while acknowledging the limits imposed on macroeconomic policy by productive and financial structures, income distribution and the way in which countries are integrated into the global financial system. These alternative strategies for economic development are explored further in Ocampo, Rada and Taylor (<span>2006</span>).</p><p>Sadly, the three authors were proven right in their analysis by the disastrous economic performance of Russia during the 1990s: Russia's real GDP declined by more than 44 per cent in 1989–98 (according to World Bank data), while death rates from non-natural causes sharply increased. Unfortunately, the argument of Taylor and his co-authors had little impact on actual policies, because they ran so strongly against Washington Consensus orthodoxy. Even more worryingly, the Harvard boys and the IMF and World Bank escaped all professional or ethical accountability for one of the biggest disasters caused by social engineering in world history.</p><p>With John Eatwell, Taylor made the case for effective international regulation of global financial markets (Eatwell and Taylor, <span>2000</span>). Since most economies have liberalized their capital accounts, often urged to do so by the IMF, they have become exposed to the vagaries of inherently fragile financial markets, in which key actors base their decisions on guesses about how other investors will behave. To stabilize financial inflows, monetary authorities in many countries resort to deflationary policies (high interest rates), depressing economic growth and imposing unnecessary societal costs when crises occur. Eatwell and Taylor argued that this deflationary bias in macro policy could only be removed with the help of appropriate international regulation of global finance.</p><p>Following the turn of the millennium, while continuing his work on developing economies (Ocampo, Rada and Taylor, <span>2006</span>; Rada and Taylor, <span>2006</span>; Taylor, <span>2001, 2006</span>), Taylor's main research focus shifted decisively to analyses of the US economy. Inspired by Goodwin's (<span>1967</span>) ‘growth cycle model’, Taylor embarked on a research trajectory analysing the relationship between economic growth, effective demand, social conflict and income distribution in the USA. Barbosa-Filho and Taylor (<span>2006</span>) and Taylor (<span>2012</span>) argue that repetitive ‘profit squeeze’ cycles17 exist for the US economy; Taylor, Foley and Rezai (<span>2019</span>) present a model of demand-driven long-run growth, based on a synthesis of Goodwin's profit-squeeze cycle, Kalecki's conflicting claims model and Kaldor's technical progress function. Taylor also worked on American fiscal policy (Taylor, Proaño, de Carvalho and Barbosa-Filho, <span>2012</span>), and (rising) income and wealth inequality in the US (Taylor and Ömer, <span>2019</span>; Taylor, Rezai, Kumar, Barbosa-Filho and Carvalho, <span>2017</span>).</p><p>In 2004, Taylor published his magnum opus, a tome of 442 pages, titled <i>Reconstructing Macroeconomics: Structuralist Proposals and Critiques of the Mainstream</i> (Taylor, <span>2004</span>). The book, based on his lectures to New School students, has two goals. One is to present a critical review of mainstream macroeconomics (monetarist, new classical, new Keynesian and recent growth theory) from a structuralist perspective. The second and more important purpose of this book is to create a ‘paradigm’ of theories from the structuralist approach. The core idea of Taylor's structuralist approach is that an economy's institutions and distributional relationships across its productive sectors and social groups play essential roles in determining its macro behaviour. The main characteristic of his theories is that they are based on the Keynes-Kalecki principle of effective demand and reject the presumption of full employment of labour and capital, namely Say's law. Taylor returns to the radical roots of Keynesianism, consigning mainstream macroeconomics to the ‘Museum of Implausible Economic Models’.</p><p>While at the New School, Taylor also published two important review articles, providing deep (re-)interpretations of the work of Luigi Pasinetti (Taylor, <span>1995a</span>) and Wynne Godley (Taylor, <span>2008</span>). Both these appreciative reviews constituted efforts to reformulate the alternative macroeconomic approaches of Pasinetti and Godley in terms of empirically <i>applicable</i> models, in line with Taylor's lifelong mission.</p><p>In 2012, aged 72, Taylor retired from the New School as Professor Emeritus, but continued his teaching, research and writing. He and Duncan Foley launched a project to investigate how nations can reconcile their needs for growth, stability and sustainability. The Foley–Taylor team proved to be rather productive, publishing a series of critical and insightful papers deeply challenging the mainstream economics approach to global warming,20 including a recent piece in <i>Nature Climate Change</i> (Semieniuk, Taylor, Rezai and Foley, <span>2021</span>). According to Foley and Taylor, mainstream climate economics suffers from a logical inconsistency and poses a false trade-off between climate action and economic growth.</p><p>Using neoclassical growth models, people like William Nordhaus compare scenarios of climate change mitigation to an (in their words) ‘optimal’ business-as-usual (BAU) benchmark and argue that climate change mitigation (which requires extra savings for green investments) has an <i>opportunity cost</i> in terms of future economic growth foregone. However, this is misleading (in terms of neoclassical logic itself) since the BAU scenario is not an ‘optimal’ one, because it includes the negative externality driven by the emission of greenhouse gases (GHG). The presence of this (increasing) negative externality means that market prices are too low (because they do not account for the social cost of carbon emissions) and hence, ‘well-being’ is overestimated (because the prices used to calculate it are distorted). It follows that correcting this negative externality has no real economic opportunity cost — contrary to what all climate-economy models, due to their faulty design, are implying. What is more, economic well-being of both current and future generations can be raised using resources diverted from conventional investments. In other words, correcting the GHG externality confers a <i>net benefit</i> to humanity rather than imposing a cost, as faulty neoclassical dogma wants us to believe. In 2014, Taylor and Foley were awarded the Leontief Prize for their joint work on climate economics, which fundamentally calls into question the foundations of all climate-economy analyses used by the Intergovernmental Panel on Climate Change and national governments.21</p><p>Taylor also continued to produce first-rate work on the US economy: his papers deal with the debate on secular stagnation (Taylor, <span>2017</span>), rising inequality (Taylor and Ömer, <span>2019</span>), a critique of Modern Monetary Theory (Taylor, <span>2019</span>), and rising inflation (Taylor and Barbosa-Filho, <span>2021</span>). Most of these papers were published as working papers by the Institute for New Economic Thinking (INET) in New York. Through his engagement with INET, his work got greater exposure than before, especially reaching the younger generation; Taylor enjoyed this, and was extremely productive, publishing dozens of widely circulated blogs and a number of interviews in just a few years.</p><p>The synthesis of this research is provided by Taylor's final book, <i>Macroeconomic Inequality from Reagan to Trump</i>, written with Özlem Ömer (Taylor and Ömer, <span>2020</span>). Taylor's argument is that rising US income and wealth inequality have been driven by wage repression and structural change benefiting the top 1 per cent of households. US inequality is shown to have increased slowly but very steadily over four decades (starting with Reagan) and Taylor's analysis shows that it will take decades to reverse it; there is no quick fix. What is interesting is that (with the help of Ömer) Taylor builds a ‘structuralist’ simulation model for the US, based on national product and income accounts, flow of funds and full-balance sheet accounting, that in important ways goes back to the simulation models he built for his PhD and the Belindia model. His structuralist take strongly suggests that the US has become a dual economy, consisting of a dynamic sector with high productivity growth and well-paid jobs, and a stagnant, services-based, subsistence sector which absorbs the labour surplus at very low wages. Turning the Lewis model on its head, his final book on the US goes full circle back to his earlier work in the 1960s on the developing world.</p><p>Lance Taylor was diagnosed with cancer in February 2020. During the long period in which he underwent treatment, he used to send round updates on his medical condition to a few friends and colleagues. In those emails, he would also mention what he was working on, and indeed, his papers kept coming. His last update arrived on 14 May 2022. On 1 June 2022, he published his final piece on the INET website: an obituary for neo-Keynesian macroeconomist Axel Leijunhufvud (1933–2022). Lance Taylor passed away on 15 August 2022, in Washington, Maine, leaving behind his wife Yvonne, two children and three grandchildren.</p><p>Lance Taylor's legacy will live on, through his prolific writings and through generations of heterodox economists, mentored by him and inspired by his work. It is difficult to overstate the importance of Taylor's role in constructing a relevant and viable alternative to the orthodox macroeconomic approach. Moreover, he did this during the post-Thatcher/Reagan era in which real-world-oriented economic approaches were radically purged from the academy, and he succeeded in keeping the (radical) Keynesian tradition not only ‘alive’, but also ‘kicking’. His legacy is a synthesis of theoretical insights from Kalecki, Kaldor, Goodwin, Marx and Keynes in terms of applicable formats that are and remain relevant to the real world. Taylor revived and revitalized the applied policy-oriented modelling approaches pioneered by Cambridge economists Richard Stone and Wynne Godley, but also by his mentor Hollis Chenery, offering consistent accounting frameworks (such as social accounting matrices, or SAMs) that bring out the production structure of the economy, the distribution of income and the composition of demand, and that can be used to provide the context for the analysis. Luckily, Taylor provided us with robust guidelines on <i>how to do</i> economics.</p><p>A first important piece of advice is that economists should have a healthy dose of scepticism of econometrics. Taylor's scepticism was not based on a misunderstanding of the issues at stake, but rather on a clear understanding of the validity and philosophical underpinning of the assumptions made for applying econometric methods. Similar to Keynes (<span>1939</span>), in a review of Tinbergen's work, Taylor understood the limiting nature of the assumptions that econometric analyses build on. Even if he did not spell out his reservations, Taylor's point is that methods designed to analyse repeated sampling in controlled experiments under fixed conditions are not easily extended to a basically unpredictable, uncertain, complex, unstable, interdependent and ever-changing social reality.</p><p>According to Taylor, even in countries with long, credible time series for the national accounts and ample input-output data, there is no compelling reason to believe in predictions from any one collection of equations from econometrics. The problem is that ‘any number of theoretical structures can be forced on a nation's one existing set of data with impressive goodness of fit’ (Taylor, <span>1995b</span>: 275). As a result, projections forward in time will diverge strongly, depending on the theoretical structure chosen. The same holds true for developing countries, where time-series data tend to be more problematic and exhibit structural breaks due to debt crises or terms of trade changes.</p><p>Taylor himself did not need to use econometrics to understand the nature of economic relationships or the behaviour of an economic system. Instead, he started off emphasizing the ‘macro-foundations’ of economic analysis, using the fact that double-entry accounting imposes structure on economic data.22 In other words, even if the ‘economy’ is a complex evolving system, so that we cannot forecast with precision anything that will happen 12 months from now, we do know that, 12 years from now, value added generated in production equals income, and that income, in turn, matches final demand. Hence, updating the numbers in a SAM <i>under reasonable assumptions</i> about what is going to happen in the next few years will usually provide as good an economic forecast as anyone can expect (Taylor, <span>1995b</span>: 276).</p><p>A second sound guideline given by Taylor is that ‘a degree of humility is appropriate for model-builders in the face of Keynes's “dark forces of time and ignorance which envelop our future”’ (Taylor, <span>2016</span>: 496). Models, after all, are stupid and do what their closures tell them to do, and hence can easily generate economically implausible results. Models are useful insofar as they can execute quantitative thought experiments, e.g., which ‘effects’ will dominate responses under what sets of circumstances. But even then, model results are useful only in combination with experience, intuition and insight and when appropriately contextualized.23 At best, (CGE) models can be considered as ad hoc numerical exercises, contingent upon the modeller's choice of a macro closure rule, which are consistent and balanced in accounts — nothing more.24 In his words: ‘there is every reason not to take the results of any particular model too seriously. But the range of results may tell you something about the possibilities at hand’ (ibid.: 512).</p><p>A final set of guidelines can be taken from Taylor's focus on applicability and the public interest. From his brilliant review of Amartya Sen's (<span>1982</span>) book on social choice theory (Taylor, <span>1984</span>), one can distil Taylor's view of what is useful research and what is not. For instance, he complains that ‘how not but not how to model economic behaviour is [Sen's] pervasive theme’ (ibid.: 191). One must ask, writes Taylor (ibid.: 194) ‘whether all this theory can be pried from the pages of <i>Econometrica</i>, and turned into something of relevance to decisions beyond academic tenure’. In his view, economics would be worth a lot more if it were deformalized, de-mathematized and ‘enhanced in relevance by restrictions that reflect class and hierarchy, macro-interactions and analysis of robustness of social structures in the world in which we happen to live’ (ibid.: 195).</p><p>Lance Taylor was a thinker of uncommon breadth, a valued teacher, a cherished colleague and a remarkable scholar who stood, gently but firmly, in unconditional opposition to the reactionary nature of mainstream economics. Lance's work has been exceptional in many ways — in terms of the clarity and consistency of his models, and his ability to combine theory and empirical analysis. I think he is one of the finest examples, along with Nicholas Kaldor, of how one can productively and relevantly work on the basis of stylized facts. And the fact that Lewis's dual-economy hypothesis, Minsky's financial constraints, Kalecki's social conflict, and Keynes’ demand analysis have (slowly) come back into the mainstream research agenda just proves that Lance was right all along.25</p>","PeriodicalId":48194,"journal":{"name":"Development and Change","volume":"54 5","pages":"1331-1353"},"PeriodicalIF":3.0000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/dech.12777","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development and Change","FirstCategoryId":"90","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/dech.12777","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

On 15 August 2022, Lance Taylor, the towering structuralist macroeconomist and a thinker of uncommon breadth, sadly passed away. His work, spanning almost six decades, stands out for its originality, creativity, (policy) relevance and theoretical rigour as well as for its fearless commitment to speak truth to power in academic and policy-making circles. This essay reviews Taylor's progression from an early development planner to a radical Keynesian macroecono-mist on a mission to reconstruct a failing mainstream macroeconomics and build a relevant, practical ‘structuralist’ alternative, grounded in real-world stylized facts and of benefit to broad-based and sustainable economic progress. Lance Taylor will be missed but, as this essay aims to demonstrate, his legacy will live on, through his prolific writings and through generations of heterodox economists who were mentored by him or have been influenced by his work.

Lance Taylor once painted the following picture of the ‘ideal’ macroeconomist: ‘Ideally, one ought to be able to teach macroeconomics at the university in the morning, advise the Minister on how to apply macroeconomics in the afternoon, and write scholarly papers on macroeconomics at night, all the while practising the same craft’ (Taylor, 1988a: 25).1 When he wrote this, Taylor probably had John Maynard Keynes in mind — the British economist who revolutionized economics and economic policy making in the 1930s — but as a matter of fact, he came very close to this ‘ideal’ himself.

Fast forward to Özlem Ömer, for whom Taylor acted as unofficial advisor for her 2018 PhD thesis (40 years after Darity), who writes: ‘We exchanged thousands of detailed emails, through which I learned his approach to macroeconomic theory …. He was incredibly patient and kind. … Lance's responses were immediate and thoughtful — no matter the time of the day. He didn't want to waste any time because he had so much to share, to write and to teach’ (Ömer, 2022: 174–75). Email had replaced the scribbled notes, but otherwise things stayed exactly the same. Interestingly, and consistent with his dissenting position within the economics profession, Taylor's office was not located in the building that housed the MIT Economics Department, but rather in the old, rambling, wooden building that housed the MIT Food and Nutrition Department. His office, door generally open, did indeed have a hammock and was full of books, reports and papers — while visitors, reportedly, would also often meet his Saint Bernard dog which he brought along to work.

When it comes to ‘advising the Minister’, Lance Taylor gave counsel to governments all over the globe, starting with Chile in 1968–69, and including Brazil, Egypt, India, Pakistan, Portugal, Nigeria, South Africa, Thailand and others. In fact, Taylor's students found it difficult to name a country he had not been to. Taylor made it a practice to collaborate with economists from the country concerned, often former students. He deeply disliked the ‘foreigners who fly in with policy packages for developing and post-socialist countries [and particularly those who] staff two international agencies — the World Bank and the International Monetary Fund (IMF)’ (Taylor, 1997: 145). He complained that: ‘Their staff members are grossly over-paid in comparison to their counterparts in developing countries. … When on missions they interact with each other more than with the economists of the country they happen to be visiting, and they communicate virtually only among themselves in the office’ (ibid.: 152).

And last but by no means least, Taylor's scholarly output (presumably written at night) is impressive. By my (imperfect) count, he published eight weighty monographs, co-authored and edited around 10 books, and published hundreds of journal articles, working papers and book chapters during an academic career spanning almost six decades. On top of this, Taylor was the editor-in-chief of the Journal of Development Economics from 1976 to 1984, where he managed to create a high-quality publication window for economists from a variety of opposing schools of thought — a window that sadly closed after he retired from the editorial board. During the late 1980s and 1990s, Taylor was pivotal in organizing and leading various projects at the World Institute for Development Economics Research (WIDER), which provided substantive critiques of the orthodox IMF macro stabilization packages and World Bank structural adjustment programmes that were deeply damaging many countries in the developing world. He was also the recipient of prestigious prizes and gave special lectures, including the Marshall Lecture in 1986–87 (Taylor, 1988a), at the University of Cambridge, and the V.K. Ramaswami Lecture at the Delhi School of Economics in 1988 (Taylor, 1988b).

It is worthy of note that Yvonne and Lance Taylor donated their farm as a conservation easement in order to protect and preserve it as a natural reserve for future generations.

Whatever his talents as a part-time farmer, however, Lance Taylor will be remembered principally as an accomplished practitioner of economics and a policy advisor who was equally skilled with abstract economic theory, complex modelling approaches, political economy analyses and pragmatic planning. It is impossible to do justice to his many contributions to macro- and development economics; in this essay, I single out key contributions, against the background of his academic biography.4

Lance Jerome Taylor was born on 25 May 1940 in Montpelier, a small town in rural Idaho, where his parents ran the local weekly newspaper (Taylor, 2000). He received a BSc with honours in mathematics from the California Institute of Technology5 in 1962, but decided not to continue in science, because ‘I have minimal mechanical talent and thereby could not be an experimentalist, while I was not quick enough at mathematics to do theory’ (ibid.: 665). A ‘marvellous course in macroeconomics’ by Alan Sweezy (a left-Keynesian economist and the older brother of Paul Sweezy6), who gave his students Keynes’ General Theory to read, persuaded him to go into economics. ‘I think in retrospect that it sunk into some place deep down in my subconscious’, said Taylor, adding that, ‘Basically, I got into economics because of him’ (quote from Lavoie, 2015: 250).

Following a Fulbright scholarship year at Lund University in Sweden, where he married Yvonne in 1963, Taylor worked on his PhD under the supervision of Hollis Burnley Chenery, who was a student of Wassily Leontief and a pioneer in using input-output analysis for development planning. According to Taylor (2000: 666): ‘[Chenery] passed along his practical view that economics should be applied to help poor people in poor countries, and also displayed a relatively open attitude towards dissent (many of the Harvard graduate students tending toward radicalism in the 1960s received a modicum of intellectual protection from him)’. Taylor did not view himself as a left-Keynesian economist at that time (Lavoie, 2015); he just wanted to ‘apply economics to help poor people in poor countries’ — quite in line with Chenery's American liberal Democratic leanings.

Using formal econometric methods, Taylor's PhD thesis analysed how sectoral production structures changed as economic development proceeded, which led to early papers on patterns of growth in The Review of Economics and Statistics (Chenery and Taylor, 1968), and The Quarterly Journal of Economics (Taylor, 1969).7 Taylor's work laid (part of) the foundation for Chenery et al.’s (1974) Redistribution with Growth: An Approach to Policy and Chenery and Syrquin's (1975) Patterns of Development, 1950–1970, two influential books on economic development published by the World Bank during the McNamara era.

After finishing his thesis, Taylor worked in Chile's Planning Office in 1968 and 1969 as part of an advisory mission led by Paul Rosenstein-Rodan; this was just before Allende was elected. In Santiago de Chile he worked on dynamic multisector programming models, publishing technical papers in Econometrica (Kendrick and Taylor, 1970) and the Review of Economic Studies (Taylor, 1970).8 Looking back, Taylor did not hold these papers in high regard, considering them to be rather standard works.9 In general, he felt that ‘there is no sense in being overwhelmed by algebraic fireworks’ (Taylor, 2000: 665). Taylor bundled his expertise on models for development planning, a ‘term that has long since vanished from polite economic discourse’,10 in a widely used book which he co-authored with Charles Blitzer and Peter Clark (Blitzer, Clark and Taylor, 1975).

The experience of living in Chile in 1968–69 proved life-changing. ‘I learned, more or less, how a highly inegalitarian developing country works and got interested in distribution issues when I was there’, Taylor noted (Lavoie, 2015: 251). In Chile, he wrote, ‘I derived my basic economic views’. These views were ‘heavily influenced by the structuralist ideas of the Economic Commission for Latin America that in the late 1960s were very much in the Santiago air. ECLA economists, in turn, owed intellectual debts to Kalecki and Kaldor’ (Taylor, 2000: 666).

After teaching for three years at Harvard, Taylor spent 1972 visiting the University of Brasilia, working on a World Bank project11 to construct a computable general equilibrium (CGE) model to analyse why rapid growth went hand-in-hand with regressive distributional change in Brazil. Together with Edmar Bacha, whom he knew well from his work in Chile's Planning Office, Taylor co-authored an influential paper titled ‘The Unequalizing Spiral: A First Growth Model for Belindia’ (Taylor and Bacha, 1976). The name ‘Belindia’, coined by Bacha, expressed the dual-economy nature of Brazil — a country in which a small minority of the population lived as well-to-do people did in advanced modern economies, such as Belgium, while the vast majority lived the way that low-income people lived in India. Taylor's team pioneered the construction of CGE models (Taylor, Bacha, Cardoso and Lysy, 1980), parallel to similar efforts for South Korea by a team led by Irma Adelman and Sherman Robinson (Adelman and Robinson, 1978).12

It must be mentioned here that publication of the CGE model analysis of Taylor, Bacha, Cardoso and Lysy ‘was held up for more than a year by Alan Walters, then a high-level Bank bureaucrat and later a key advisor to Margaret Thatcher’ (Taylor, 2016: 499). Walters found Taylor's modelling approach ‘politically unacceptable’. His unwillingness to publish Taylor's model analysis was no error, however. Consciously or unconsciously, Walters understood that Taylor's work laid the axe at the root of the World Bank's self-image that it was providing neutral, ‘technical’ policy advice to client governments. The point was that Taylor, jointly with Frank Lysy, had offered proof that the newly developed CGE models are not ‘neutral’ policy tools to explore the data or numerically examine the possible repercussions of policy changes or institutional changes (Taylor and Lysy, 1979). Rather, these models are, always and everywhere, ‘non-neutral’, that is, they ‘are designed as quantified illustrations of their designers’ conceptions of the economic world. Each model becomes a rhetorical tool, a means to expound in detail its builder's ideas about the key linkages in the “real” economy out there’ (Taylor, 1995b: 271).

Specifically, Taylor and Lysy (1979) show that economists always have to superimpose a particular ‘macroeconomic causal structure’ or ‘closure’ on their model, and the choice of a specific closure rule will affect the way the model works and significantly influence the qualitative character of the model results.13 The reason, as Taylor (2016: 496) explains, is that ‘CGE models are stupid. They do what their closures tell them to do’. In Taylor's view, this does not make CGE modelling useless, but it does imply that the economist building the model has to have an informed prior understanding (a ‘vision’) of the economy in question in order to choose the most appropriate closure rule given the specific historical and institutional context. Taylor is basically restating Keynes’ claim that economists must be vigilant observers and that economics is an art, and not an ersatz natural science: ‘Economics is a science of thinking in terms of models joined to the art of choosing models which are relevant to the contemporary world. … Good economists are scarce because the gift for using “vigilant observation” to choose good models, although it does not require a highly specialised intellectual technique, appears to be a very rare one’ (Keynes, 1938/2012: 297).

Taylor, who was a master in vigilant observation, learned an important lesson: ‘As my little dust up with Alan Walters exemplifies, politics has always been part of the CGE world, not least in the World Bank which after all is based in Washington DC’ (Taylor, 2016: 500). Walters, whose father was a communist and who himself became Mrs Thatcher's ‘finest of friends’, could not stop the publication of Taylor et al. (1980). He nevertheless got his way in the long run, especially after ‘Anne Krueger's palace coup at the World Bank’ (Taylor, 2016: 507). From then on, CGE models were widely promoted as ‘neutral policy tools’ by the World Bank and the IMF to advocate their Washington Consensus policies. But as Taylor (ibid.: 496) pointed out, the neoclassical macroeconomic closures of the models used by the World Bank and the World Trade Organization have to an extent been rigged to make them generate the qualitative results that the modellers think they should have. As Taylor (ibid.: 500) wrote: ‘I would argue that some of the Bank's modeling work went beyond research into design of packages aimed to sell the purported benefits of liberalization, but I'll leave that judgment to others’.

In fact, by assuming full employment, World Bank CGE models would always produce net welfare gains from trade liberalization in any country in any time period, since actual real-world contractionary effects could not occur in these models because of the neoclassical closure chosen (see Kohler and Storm, 2017). Raza, Taylor, Tröster and von Arnim (2016) present a structuralist CGE model for the assessment of the Transatlantic Trade and Investment Partnership (TTIP); its key assumptions with regard to the determination of output, income and employment are fundamentally different to the key assumptions of mainstream CGE models — and they arrive at fundamentally different results.

In retrospect, Taylor's realization in the 1970s that (CGE) modelling is never a neutral exercise, but always involves prior choices — based on ‘vigilant observation’ by the model builder — which affect the model outcomes, provided the foundation and inspiration for all his later work. From then on, he would always explicitly explore how (prior) theoretical choices influence model outcomes and, hence, affect policy recommendations. And he would always justify his choice of a particular closure, given the structural and institutional context of the economy under investigation. The art of doing economics is to make it relevant for the real world.

During his years in Chile and Brazil, Taylor read widely — ‘Sraffa, Robinson, Kaldor, Kalecki and a lot of anthropology’ (Taylor, 2000: 667) — ironically, mostly work by economists based in Cambridge, England.14 Returning from Brasilia to Cambridge, Massachusetts, Taylor joined MIT as a tenured professor in the Departments of Economics and Nutrition in 1973 and became the editor-in-chief of the Journal of Development Economics in 1976. Several themes dominate Taylor's work in the 1970s and 1980s: a focus on industrial structure and structural change; a continuing emphasis on the balance of payments as a central constraint on development; an explicit concern with income distribution (and distributional conflict) as a driver influencing economic growth; and a lack of automatic self-correcting mechanisms to resolve structural imbalances and deal with external shocks. These structural factors impose constraints on economic performance, but may also contribute to economic growth. Taylor's point (in his own words) is that ‘you cannot just describe an economy with production functions, demand and supply functions and maximising this or that, and that instead institutions and history matter’ (Lavoie, 2015: 251).

Taylor developed novel two-sector models of a developing economy, which distinguished between a price-clearing agricultural sector and a demand-determined, quantity-clearing industrial sector and included Engel curves (for consumption demand), to analyse perennial problems of economic development highlighted by Kalecki, Kaldor, Preobrazhensky and Sylos-Labini (Chichilnisky and Taylor, 1980). And with Paul Krugman, then an MIT graduate student, Taylor wrote a now classic paper showing that currency depreciations are likely to be contractionary in semi-industrialized economies: after all, in the real world, the increase in import prices (of essential consumer items and capital goods) lowers real incomes and, hence, demand and output, especially if exports are not very sensitive to the exchange rate (Krugman and Taylor, 1978). Taylor's work of the 1970s was brought together in his first monograph, Macro Models for Developing Countries (Taylor, 1979).

During the 1970s and 1980s, Taylor deepened his work on CGE models. His 1974 paper written with Stephen J. Black provided the first practical (policy) application of general equilibrium modelling, in the form of a 35-sector model for the Chilean economy (Taylor and Black, 1974), based on Leif Johansen's (1964) classic, Multi-sectoral Study of Economic Growth. Solving large-scale non-linear numerical models was no sinecure in a time of expensive, time-consuming, room-sized mainframe computing, and Johansen's solution algorithm, which involved log-linearizing the non-linear equations in the model, was not very efficient. Taylor developed a new and more efficient iterative solution algorithm, involving a combination of Gauss-Seidel and Newton-Raphson methods, that proved very powerful in approximating general-equilibrium outcomes (Taylor, 1983). He used the new algorithm to build CGE models for Egypt (Taylor, 1982), Pakistan (McCarthy and Taylor, 1980) and India (Taylor, Sarkar and Rattsø, 1984). The simulations based on the CGE model for Egypt, with a broadly Kaleckian specification, showed that abolishing the existing food subsidies would lead to output contraction and adverse nutritional change. As Taylor recalls: ‘These results did not strike me as surprising, but provoked debate with people opposed to subsidies because of their alleged microeconomic inefficiencies. My report (never published per se) became a mini-cause célèbre when Cairo erupted in food riots after an attempt to end the subsidies in January 1977. Ill-planned distributional shifts can have substantial macroeconomic effects’ (Taylor, 2000: 667–68).15

The models he developed in collaboration with students and colleagues were orientated towards practical development policy issues. These model analyses, centred on distributional conflicts within the structural constraints in terms of productive, export and import, and land ownership structures characteristic of industrializing economies, proved useful to quantify effects of policy changes and forced one to think about the relative importance of different causal chains. Edited collections of these papers were published as Taylor (1990) and Taylor (1993).

Taylor's 1983 book provided a synthesis and a first serious attempt at codification of his ‘structuralist’ macroeconomics, both for the short and the long run.16 It contained his pioneering work on models describing the economic interactions between an industrialized North and a primary-resources-exporting South (Taylor, 1981), which was heavily influenced by ECLA's structuralism and which, in turn, inspired a cottage industry of North–South analyses in the 1980s (e.g., Conway and Darity 1991; Dutt 1989a, 1989b). Retaining a modified version of the neo-Keynesian IS-LM model (with exogenous money supply) in parts of the book did not help his overall cause (Bacha, 1985). Nevertheless, Taylor's treatment of the foreign-exchange constraint on industrialization and of structuralist inflation models was illuminating, and his chapter 4, which discusses a CGE model for India, was outright brilliant; in the words of Bacha: ‘More than fifteen years of experience in applying multisectoral models in different parts of the developing world are neatly packed by Taylor in no more than thirty pages. All the tricks of the trade are presented in a masterful exposition, which should be a treat for students of development economics and economic planners alike’ (Bacha, 1985: 540). Taylor further contributed two (long) chapters to the two-volume first edition of The Handbook of Development Economics, edited by Hollis Chenery and T.N. Srinivasan; the chapters, co-authored by Persio Arida, one of his PhD students, dealt with short-run macroeconomics and long-run income distribution and growth (Taylor and Arida, 1988, 1989).

The monetary tightening in the American Federal Reserve during 1979–81, to combat inflation in the US, triggered debt crises in many (highly indebted) countries in Latin America and Africa. In the aftermath of the global fallout of the Volcker shock, Taylor devoted his work in the 1980s and 1990s to analysing and criticizing stabilization, liberalization and privatization policies which were imposed on developing countries as conditionality for debt relief and financial support by the IMF, the World Bank and the US Treasury. The economies ‘helped’ by these Washington institutions had to undertake drastic measures for fiscal consolidation and trade and capital account liberalization, which contributed to a prolonged recession, rising inequality and poverty, and a lost decade of development in those countries. Under the aegis of WIDER and working with Gerald Helleiner, Taylor organized 18 comparative studies of IMF-sponsored economic stabilization policies in developing countries; the results of the studies are reviewed in Taylor (1988a, 1989) with the aim of identifying alternative stabilization policies that work better than the ones imposed by the IMF.

(This certainly rings true for the author of this essay, who has spent quite a few hours consumed by the effort of understanding various of Taylor's theoretical models, but in the end always learned massively from these efforts.)

The 1991 book proved to be Taylor's final act in Cambridge, Massachusetts. Importantly, from a sole focus on developing countries, his emphasis gradually shifted to macroeconomic theory more generally, as applied to both developed and developing countries. Thus, while mainstream economists commonly and unthinkingly apply theories constructed for developed countries to developing-country contexts, Taylor (1991) began to apply his ‘structuralism’ to Northern economies and to the US in particular.

Over time, Taylor grew increasingly dissatisfied with the extreme emphasis on mainstream economics at MIT (Taylor, 2000: 670). He believed that, after 1980, macroeconomics became basically irrelevant: ‘mainstream macroeconomics to a large extent did become a second-rate applied mathematics aimed at problems with minimal social content. A pity’ (Taylor, 2010: 253). He decided to leave. ‘Lance set off some shock waves across the profession when, as a full professor, he left MIT, the department at the apex of the profession, to take a position at the New School’, writes Darity (2022), adding that the ‘New School had a distinguished faculty in its own right, but somewhat marginalised because of their commitment to heterodoxy. Lance found the New School to be a far more supportive and inspiring environment for the work he was doing in the final thirty years of his life’. Indeed, his already superlative productivity appears only to have increased after his move.

At the New School, Taylor worked on a critique of the mindless ‘get the prices right’ structural adjustment programmes imposed by the World Bank on many developing and (then) new transitional countries. Excellent summaries of this critique of trade and capital account liberalization, privatization of public enterprises, deregulation of finance, and fiscal austerity under the umbrella of the Washington Consensus are available in Ocampo and Taylor (1998) and Taylor (1997). As Taylor (1997: 151) pointed out, the IMF and World Bank do not pay for the costs of their policy errors: ‘A [World Bank or IMF] staff member flying home in a chastened frame of mind represents one sort of response to a liberalization attempt which collapsed; a local health worker trying to help malnourished infants recover from the effects of a drastically lower national income is quite another’. As always, Taylor identified policies for progressive redistribution and growth that should replace IMF-World Bank dogma, while acknowledging the limits imposed on macroeconomic policy by productive and financial structures, income distribution and the way in which countries are integrated into the global financial system. These alternative strategies for economic development are explored further in Ocampo, Rada and Taylor (2006).

Sadly, the three authors were proven right in their analysis by the disastrous economic performance of Russia during the 1990s: Russia's real GDP declined by more than 44 per cent in 1989–98 (according to World Bank data), while death rates from non-natural causes sharply increased. Unfortunately, the argument of Taylor and his co-authors had little impact on actual policies, because they ran so strongly against Washington Consensus orthodoxy. Even more worryingly, the Harvard boys and the IMF and World Bank escaped all professional or ethical accountability for one of the biggest disasters caused by social engineering in world history.

With John Eatwell, Taylor made the case for effective international regulation of global financial markets (Eatwell and Taylor, 2000). Since most economies have liberalized their capital accounts, often urged to do so by the IMF, they have become exposed to the vagaries of inherently fragile financial markets, in which key actors base their decisions on guesses about how other investors will behave. To stabilize financial inflows, monetary authorities in many countries resort to deflationary policies (high interest rates), depressing economic growth and imposing unnecessary societal costs when crises occur. Eatwell and Taylor argued that this deflationary bias in macro policy could only be removed with the help of appropriate international regulation of global finance.

Following the turn of the millennium, while continuing his work on developing economies (Ocampo, Rada and Taylor, 2006; Rada and Taylor, 2006; Taylor, 2001, 2006), Taylor's main research focus shifted decisively to analyses of the US economy. Inspired by Goodwin's (1967) ‘growth cycle model’, Taylor embarked on a research trajectory analysing the relationship between economic growth, effective demand, social conflict and income distribution in the USA. Barbosa-Filho and Taylor (2006) and Taylor (2012) argue that repetitive ‘profit squeeze’ cycles17 exist for the US economy; Taylor, Foley and Rezai (2019) present a model of demand-driven long-run growth, based on a synthesis of Goodwin's profit-squeeze cycle, Kalecki's conflicting claims model and Kaldor's technical progress function. Taylor also worked on American fiscal policy (Taylor, Proaño, de Carvalho and Barbosa-Filho, 2012), and (rising) income and wealth inequality in the US (Taylor and Ömer, 2019; Taylor, Rezai, Kumar, Barbosa-Filho and Carvalho, 2017).

In 2004, Taylor published his magnum opus, a tome of 442 pages, titled Reconstructing Macroeconomics: Structuralist Proposals and Critiques of the Mainstream (Taylor, 2004). The book, based on his lectures to New School students, has two goals. One is to present a critical review of mainstream macroeconomics (monetarist, new classical, new Keynesian and recent growth theory) from a structuralist perspective. The second and more important purpose of this book is to create a ‘paradigm’ of theories from the structuralist approach. The core idea of Taylor's structuralist approach is that an economy's institutions and distributional relationships across its productive sectors and social groups play essential roles in determining its macro behaviour. The main characteristic of his theories is that they are based on the Keynes-Kalecki principle of effective demand and reject the presumption of full employment of labour and capital, namely Say's law. Taylor returns to the radical roots of Keynesianism, consigning mainstream macroeconomics to the ‘Museum of Implausible Economic Models’.

While at the New School, Taylor also published two important review articles, providing deep (re-)interpretations of the work of Luigi Pasinetti (Taylor, 1995a) and Wynne Godley (Taylor, 2008). Both these appreciative reviews constituted efforts to reformulate the alternative macroeconomic approaches of Pasinetti and Godley in terms of empirically applicable models, in line with Taylor's lifelong mission.

In 2012, aged 72, Taylor retired from the New School as Professor Emeritus, but continued his teaching, research and writing. He and Duncan Foley launched a project to investigate how nations can reconcile their needs for growth, stability and sustainability. The Foley–Taylor team proved to be rather productive, publishing a series of critical and insightful papers deeply challenging the mainstream economics approach to global warming,20 including a recent piece in Nature Climate Change (Semieniuk, Taylor, Rezai and Foley, 2021). According to Foley and Taylor, mainstream climate economics suffers from a logical inconsistency and poses a false trade-off between climate action and economic growth.

Using neoclassical growth models, people like William Nordhaus compare scenarios of climate change mitigation to an (in their words) ‘optimal’ business-as-usual (BAU) benchmark and argue that climate change mitigation (which requires extra savings for green investments) has an opportunity cost in terms of future economic growth foregone. However, this is misleading (in terms of neoclassical logic itself) since the BAU scenario is not an ‘optimal’ one, because it includes the negative externality driven by the emission of greenhouse gases (GHG). The presence of this (increasing) negative externality means that market prices are too low (because they do not account for the social cost of carbon emissions) and hence, ‘well-being’ is overestimated (because the prices used to calculate it are distorted). It follows that correcting this negative externality has no real economic opportunity cost — contrary to what all climate-economy models, due to their faulty design, are implying. What is more, economic well-being of both current and future generations can be raised using resources diverted from conventional investments. In other words, correcting the GHG externality confers a net benefit to humanity rather than imposing a cost, as faulty neoclassical dogma wants us to believe. In 2014, Taylor and Foley were awarded the Leontief Prize for their joint work on climate economics, which fundamentally calls into question the foundations of all climate-economy analyses used by the Intergovernmental Panel on Climate Change and national governments.21

Taylor also continued to produce first-rate work on the US economy: his papers deal with the debate on secular stagnation (Taylor, 2017), rising inequality (Taylor and Ömer, 2019), a critique of Modern Monetary Theory (Taylor, 2019), and rising inflation (Taylor and Barbosa-Filho, 2021). Most of these papers were published as working papers by the Institute for New Economic Thinking (INET) in New York. Through his engagement with INET, his work got greater exposure than before, especially reaching the younger generation; Taylor enjoyed this, and was extremely productive, publishing dozens of widely circulated blogs and a number of interviews in just a few years.

The synthesis of this research is provided by Taylor's final book, Macroeconomic Inequality from Reagan to Trump, written with Özlem Ömer (Taylor and Ömer, 2020). Taylor's argument is that rising US income and wealth inequality have been driven by wage repression and structural change benefiting the top 1 per cent of households. US inequality is shown to have increased slowly but very steadily over four decades (starting with Reagan) and Taylor's analysis shows that it will take decades to reverse it; there is no quick fix. What is interesting is that (with the help of Ömer) Taylor builds a ‘structuralist’ simulation model for the US, based on national product and income accounts, flow of funds and full-balance sheet accounting, that in important ways goes back to the simulation models he built for his PhD and the Belindia model. His structuralist take strongly suggests that the US has become a dual economy, consisting of a dynamic sector with high productivity growth and well-paid jobs, and a stagnant, services-based, subsistence sector which absorbs the labour surplus at very low wages. Turning the Lewis model on its head, his final book on the US goes full circle back to his earlier work in the 1960s on the developing world.

Lance Taylor was diagnosed with cancer in February 2020. During the long period in which he underwent treatment, he used to send round updates on his medical condition to a few friends and colleagues. In those emails, he would also mention what he was working on, and indeed, his papers kept coming. His last update arrived on 14 May 2022. On 1 June 2022, he published his final piece on the INET website: an obituary for neo-Keynesian macroeconomist Axel Leijunhufvud (1933–2022). Lance Taylor passed away on 15 August 2022, in Washington, Maine, leaving behind his wife Yvonne, two children and three grandchildren.

Lance Taylor's legacy will live on, through his prolific writings and through generations of heterodox economists, mentored by him and inspired by his work. It is difficult to overstate the importance of Taylor's role in constructing a relevant and viable alternative to the orthodox macroeconomic approach. Moreover, he did this during the post-Thatcher/Reagan era in which real-world-oriented economic approaches were radically purged from the academy, and he succeeded in keeping the (radical) Keynesian tradition not only ‘alive’, but also ‘kicking’. His legacy is a synthesis of theoretical insights from Kalecki, Kaldor, Goodwin, Marx and Keynes in terms of applicable formats that are and remain relevant to the real world. Taylor revived and revitalized the applied policy-oriented modelling approaches pioneered by Cambridge economists Richard Stone and Wynne Godley, but also by his mentor Hollis Chenery, offering consistent accounting frameworks (such as social accounting matrices, or SAMs) that bring out the production structure of the economy, the distribution of income and the composition of demand, and that can be used to provide the context for the analysis. Luckily, Taylor provided us with robust guidelines on how to do economics.

A first important piece of advice is that economists should have a healthy dose of scepticism of econometrics. Taylor's scepticism was not based on a misunderstanding of the issues at stake, but rather on a clear understanding of the validity and philosophical underpinning of the assumptions made for applying econometric methods. Similar to Keynes (1939), in a review of Tinbergen's work, Taylor understood the limiting nature of the assumptions that econometric analyses build on. Even if he did not spell out his reservations, Taylor's point is that methods designed to analyse repeated sampling in controlled experiments under fixed conditions are not easily extended to a basically unpredictable, uncertain, complex, unstable, interdependent and ever-changing social reality.

According to Taylor, even in countries with long, credible time series for the national accounts and ample input-output data, there is no compelling reason to believe in predictions from any one collection of equations from econometrics. The problem is that ‘any number of theoretical structures can be forced on a nation's one existing set of data with impressive goodness of fit’ (Taylor, 1995b: 275). As a result, projections forward in time will diverge strongly, depending on the theoretical structure chosen. The same holds true for developing countries, where time-series data tend to be more problematic and exhibit structural breaks due to debt crises or terms of trade changes.

Taylor himself did not need to use econometrics to understand the nature of economic relationships or the behaviour of an economic system. Instead, he started off emphasizing the ‘macro-foundations’ of economic analysis, using the fact that double-entry accounting imposes structure on economic data.22 In other words, even if the ‘economy’ is a complex evolving system, so that we cannot forecast with precision anything that will happen 12 months from now, we do know that, 12 years from now, value added generated in production equals income, and that income, in turn, matches final demand. Hence, updating the numbers in a SAM under reasonable assumptions about what is going to happen in the next few years will usually provide as good an economic forecast as anyone can expect (Taylor, 1995b: 276).

A second sound guideline given by Taylor is that ‘a degree of humility is appropriate for model-builders in the face of Keynes's “dark forces of time and ignorance which envelop our future”’ (Taylor, 2016: 496). Models, after all, are stupid and do what their closures tell them to do, and hence can easily generate economically implausible results. Models are useful insofar as they can execute quantitative thought experiments, e.g., which ‘effects’ will dominate responses under what sets of circumstances. But even then, model results are useful only in combination with experience, intuition and insight and when appropriately contextualized.23 At best, (CGE) models can be considered as ad hoc numerical exercises, contingent upon the modeller's choice of a macro closure rule, which are consistent and balanced in accounts — nothing more.24 In his words: ‘there is every reason not to take the results of any particular model too seriously. But the range of results may tell you something about the possibilities at hand’ (ibid.: 512).

A final set of guidelines can be taken from Taylor's focus on applicability and the public interest. From his brilliant review of Amartya Sen's (1982) book on social choice theory (Taylor, 1984), one can distil Taylor's view of what is useful research and what is not. For instance, he complains that ‘how not but not how to model economic behaviour is [Sen's] pervasive theme’ (ibid.: 191). One must ask, writes Taylor (ibid.: 194) ‘whether all this theory can be pried from the pages of Econometrica, and turned into something of relevance to decisions beyond academic tenure’. In his view, economics would be worth a lot more if it were deformalized, de-mathematized and ‘enhanced in relevance by restrictions that reflect class and hierarchy, macro-interactions and analysis of robustness of social structures in the world in which we happen to live’ (ibid.: 195).

Lance Taylor was a thinker of uncommon breadth, a valued teacher, a cherished colleague and a remarkable scholar who stood, gently but firmly, in unconditional opposition to the reactionary nature of mainstream economics. Lance's work has been exceptional in many ways — in terms of the clarity and consistency of his models, and his ability to combine theory and empirical analysis. I think he is one of the finest examples, along with Nicholas Kaldor, of how one can productively and relevantly work on the basis of stylized facts. And the fact that Lewis's dual-economy hypothesis, Minsky's financial constraints, Kalecki's social conflict, and Keynes’ demand analysis have (slowly) come back into the mainstream research agenda just proves that Lance was right all along.25

兰斯·泰勒(1940-2022):重建宏观经济学
2022年8月15日,杰出的结构主义宏观经济学家、博大精深的思想家兰斯·泰勒(Lance Taylor)不幸去世。他的著作跨越近60年,以其独创性、创造性、(政策)相关性和理论严谨性,以及在学术和决策圈勇敢地向权力说真话而脱颖而出。这篇文章回顾了泰勒从早期的发展规划师到激进的凯恩斯主义宏观经济学家的进步,他的使命是重建失败的主流宏观经济学,并建立一个相关的、实用的“结构主义”替代方案,以现实世界的程式化事实为基础,有利于广泛和可持续的经济进步。兰斯•泰勒(Lance Taylor)将被怀念,但正如本文旨在证明的那样,他的遗产将通过他多产的著作,以及受他指导或受他作品影响的几代非正统经济学家得以延续。兰斯·泰勒曾经描绘过这样一幅“理想的”宏观经济学家的画面:“理想的宏观经济学家应该能够在上午在大学教授宏观经济学,下午就如何应用宏观经济学向部长提出建议,晚上写宏观经济学的学术论文,同时练习同样的技巧。”(泰勒,1988a: 25)当泰勒写这篇文章时,他可能想到了约翰·梅纳德·凯恩斯——这位在20世纪30年代彻底改革了经济学和经济政策制定的英国经济学家——但事实上,他自己非常接近这个“理想”。快进到Özlem Ömer,泰勒在她2018年的博士论文中担任非正式导师(40年后),她写道:“我们交换了数千封详细的电子邮件,通过这些邮件,我了解了他对宏观经济理论的方法....他的耐心和善良令人难以置信。无论什么时候,兰斯的回答都是迅速而周到的。他不想浪费任何时间,因为他有太多东西要分享、要写、要教”(Ömer, 2022: 174-75)。电子邮件取代了潦草的笔记,但除此之外,一切都保持原样。有趣的是,与他在经济学界持不同意见的立场一致的是,泰勒的办公室并没有设在麻省理工学院经济系所在的大楼里,而是设在麻省理工学院食品与营养系所在的一栋古老、杂乱的木制建筑里。他的办公室通常是敞开着的,里面确实有一张吊床,里面堆满了书、报告和文件。据报道,来访者还经常能见到他带着来上班的圣伯纳犬。说到“为部长提供建议”,兰斯·泰勒为全球各国政府提供建议,从1968年至1969年的智利开始,包括巴西、埃及、印度、巴基斯坦、葡萄牙、尼日利亚、南非、泰国和其他国家。事实上,泰勒的学生发现很难说出一个他没有去过的国家。泰勒把与相关国家的经济学家合作作为一种实践,这些经济学家通常是他以前的学生。他非常不喜欢“带着发展中国家和后社会主义国家的一揽子政策飞来的外国人(尤其是那些)在两个国际机构——世界银行和国际货币基金组织(IMF)工作的人”(Taylor, 1997: 145)。他抱怨说:“与发展中国家的同行相比,他们的工作人员薪酬过高。……在执行任务时,他们彼此之间的互动多于与他们碰巧访问的国家的经济学家之间的互动,而且他们实际上只在办公室里彼此交流”(同上:152)。最后但并非最不重要的是,泰勒的学术成果(大概是在晚上写的)令人印象深刻。据我(不完全)统计,在他近60年的学术生涯中,他出版了8本重量级的专著,与人合著并编辑了大约10本书,发表了数百篇期刊文章、工作论文和书籍章节。最重要的是,泰勒在1976年至1984年期间担任《发展经济学杂志》(Journal of Development Economics)的主编,在那里他成功地为来自各种对立思想流派的经济学家创建了一个高质量的出版窗口——不幸的是,这个窗口在他从编委会退休后关闭了。在1980年代末和1990年代,泰勒在组织和领导世界发展经济研究所的各种项目方面发挥了关键作用,该研究所对正统的国际货币基金组织宏观稳定一揽子计划和世界银行结构调整方案提出了实质性的批评,这些方案严重损害了发展中世界的许多国家。他也是著名奖项的获得者,并做过特别讲座,包括1986-87年在剑桥大学的马歇尔讲座(Taylor, 1988a),以及1988年在德里经济学院的V.K. Ramaswami讲座(Taylor, 1988b)。值得注意的是,Yvonne和Lance Taylor捐赠了他们的农场作为保护地役权,以保护和保存它作为后代的自然保护区。 然而,无论兰斯·泰勒作为一名兼职农民的天赋如何,他将主要作为一名成功的经济学实践者和政策顾问而被人们记住,他在抽象经济理论、复杂建模方法、政治经济分析和实用规划方面同样娴熟。我们不可能公正地评价他对宏观经济学和发展经济学的诸多贡献;在这篇文章中,我以他的学术传记为背景,挑出了他的主要贡献。兰斯·杰罗姆·泰勒于1940年5月25日出生在爱达荷州乡村小镇蒙彼利埃,他的父母在那里经营当地的周报(泰勒,2000)。1962年,他以优异的成绩获得了加州理工学院的数学学士学位,但他决定不再继续从事科学研究,因为“我在机械方面的天赋很少,因此不能成为一名实验主义者,而我在数学方面又不够快,不能做理论研究”(同上:665)。艾伦·斯威齐(左翼凯恩斯主义经济学家,保罗·斯威齐的哥哥)的一门“绝妙的宏观经济学课程”让学生们阅读了凯恩斯的《通论》,这促使斯威齐投身经济学。泰勒说:“回想起来,我觉得这句话已经深入到我潜意识的某个地方了。基本上,我之所以进入经济学领域,就是因为他。”(引自拉沃伊,2015:250)在瑞典隆德大学获得富布赖特奖学金一年之后,泰勒于1963年与伊冯娜结婚,在霍利斯·伯恩利·切尼的指导下攻读博士学位,霍利斯·伯恩利·切尼是瓦西利·莱昂惕夫的学生,也是将投入产出分析用于发展规划的先驱。根据Taylor(2000: 666)的说法:“(Chenery)传递了他的实用观点,即经济学应该用于帮助贫穷国家的穷人,并且对不同意见表现出相对开放的态度(许多在20世纪60年代倾向于激进主义的哈佛研究生从他那里得到了一点点知识保护)。”泰勒当时并不认为自己是左翼凯恩斯主义经济学家(Lavoie, 2015);他只是想“运用经济学来帮助贫穷国家的穷人”——这与切尼的美国自由民主党倾向相当一致。使用正式的计量经济学方法,泰勒的博士论文分析了部门生产结构是如何随着经济发展而变化的,这导致了《经济与统计评论》(Chenery和Taylor, 1968年)和《经济学季刊》(Taylor, 1969年)中关于增长模式的早期论文泰勒的工作为世界银行在麦克纳马拉时代出版的两本关于经济发展的有影响力的著作——《再分配与增长:政策研究》(1974)和《发展模式,1950-1970》(1975)——奠定了(部分)基础。完成论文后,泰勒于1968年和1969年在智利规划办公室工作,作为保罗·罗森斯坦-罗丹(Paul Rosenstein-Rodan)领导的顾问团的一部分;这发生在阿连德当选之前。在智利圣地亚哥,他研究动态多部门规划模型,并在Econometrica (Kendrick and Taylor, 1970)和the Review of Economic Studies (Taylor, 1970)上发表技术论文回想起来,泰勒并不看重这些论文,认为它们是相当标准的作品总的来说,他觉得“被代数的焰火淹没是没有意义的”(Taylor, 2000: 665)。泰勒在与查尔斯·布利策和彼得·克拉克(Blitzer, Clark and Taylor, 1975)合著的一本被广泛使用的书中,将他的专业知识与发展规划模型(一个“早已从礼貌的经济话语中消失的术语”)捆绑在一起。1968-69年在智利的生活经历改变了我的一生。“我或多或少地了解了一个高度不平等的发展中国家是如何运作的,当我在那里时,我对分配问题产生了兴趣”,泰勒指出(Lavoie, 2015: 251)。他写道,在智利,“我形成了自己的基本经济观点”。这些观点在很大程度上受到了拉丁美洲经济委员会的结构主义思想的影响,这些思想在20世纪60年代后期在圣地亚哥的空气中非常流行。ECLA的经济学家,反过来,欠Kalecki和Kaldor的智力债务(Taylor, 2000: 666)。在哈佛大学任教三年后,泰勒于1972年访问了巴西利亚大学,参与世界银行的一个项目,该项目旨在构建一个可计算的一般均衡(CGE)模型,以分析为什么巴西的快速增长与递减分配变化密切相关。泰勒与埃德玛·巴查(Edmar Bacha)合著了一篇有影响力的论文,题为《不平衡的螺旋:Belindia的第一个增长模型》(Taylor and Bacha, 1976)。 巴沙创造的“Belindia”这个名字表达了巴西的双重经济性质——在这个国家,一小部分人口过着像比利时等发达现代经济体中富人那样的生活,而绝大多数人则过着印度低收入者那样的生活。Taylor的团队率先构建了CGE模型(Taylor, Bacha, Cardoso and Lysy, 1980),与Irma Adelman和Sherman Robinson领导的团队为韩国所做的类似努力(Adelman and Robinson, 1978)相似。12这里必须提到的是,对Taylor、Bacha、Cardoso和Lysy的CGE模型分析的发表“被Alan Walters拖延了一年多,Alan Walters当时是世行的高级官员,后来成为玛格丽特·撒切尔的重要顾问”(Taylor, 2016: 499)。沃尔特斯认为泰勒的造型方式“在政治上是不可接受的”。然而,他不愿意发表泰勒的模型分析并没有错。无论是有意还是无意,沃尔特斯都明白,泰勒的工作彻底改变了世界银行的自我形象,即向借款国政府提供中立、“技术性”的政策建议。问题的关键在于,Taylor与Frank Lysy共同提出了证据,证明新开发的CGE模型不是“中立”的政策工具,无法探索数据或从数字上检验政策变化或制度变化可能产生的影响(Taylor and Lysy, 1979)。相反,无论何时何地,这些模型都是“非中性的”,也就是说,它们被设计成设计师对经济世界概念的量化例证。每个模型都成为一种修辞工具,一种详细阐述其构建者关于“实体”经济中关键联系的想法的手段”(Taylor, 1995b: 271)。具体而言,Taylor和Lysy(1979)表明,经济学家总是必须在他们的模型上叠加一个特定的“宏观经济因果结构”或“关闭”,而选择一个特定的关闭规则将影响模型的工作方式,并显著影响模型结果的定性特征正如Taylor(2016: 496)所解释的那样,原因是“CGE模型是愚蠢的”。它们按照闭包的指示去做。”在泰勒看来,这并没有使CGE模型无用,但它确实意味着建立模型的经济学家必须对所讨论的经济有一个知情的事先理解(“愿景”),以便在特定的历史和制度背景下选择最合适的关闭规则。泰勒基本上是在重申凯恩斯的主张,即经济学家必须是警惕的观察者,经济学是一门艺术,而不是一门仿造的自然科学:“经济学是一门思考模型的科学,与选择与当代世界相关的模型的艺术结合在一起。”“优秀的经济学家是稀缺的,因为使用‘警惕观察’来选择好的模型的天赋,尽管它不需要高度专业化的智力技术,似乎是非常罕见的”(凯恩斯,1938/2012:297)。泰勒是一位善于敏锐观察的大师,他学到了一个重要的教训:“正如我与艾伦·沃尔特斯的小小接触所证明的那样,政治一直是通用电气世界的一部分,尤其是在毕竟总部位于华盛顿特区的世界银行”(泰勒,2016:500)。沃尔特斯的父亲是一名共产主义者,他自己也成了撒切尔夫人“最好的朋友”,他无法阻止泰勒等人(Taylor et al., 1980)的出版。然而,从长远来看,他得到了自己的方式,特别是在“安妮克鲁格在世界银行的宫廷政变”之后(泰勒,2016:507)。从那时起,CGE模型被世界银行和国际货币基金组织广泛推广为“中性政策工具”,以倡导他们的“华盛顿共识”政策。但正如Taylor(同上:496)指出的那样,世界银行和世界贸易组织使用的模型的新古典宏观经济闭包在一定程度上被操纵,使它们产生建模者认为他们应该得到的定性结果。正如泰勒(同上:500)所写:“我认为,世行的一些建模工作超出了对旨在推销所谓自由化好处的一揽子计划设计的研究,但我将把这个判断留给其他人。”事实上,通过假设充分就业,世界银行的CGE模型总是会从任何国家的任何时期的贸易自由化中产生净福利收益,因为由于选择了新古典主义的封闭,这些模型中不可能出现实际的现实世界收缩效应(见Kohler和Storm, 2017)。Raza、Taylor、Tröster和von Arnim(2016)提出了一个用于评估跨大西洋贸易与投资伙伴关系(TTIP)的结构主义CGE模型;它关于产出、收入和就业决定的关键假设与主流CGE模型的关键假设根本不同——它们得出的结果也根本不同。 回想起来,泰勒在20世纪70年代认识到(CGE)建模从来不是一个中立的练习,而总是涉及到先前的选择——基于模型构建者的“警惕观察”——这会影响模型的结果,这为他后来的所有工作提供了基础和灵感。从那时起,他总是会明确地探索(先前的)理论选择如何影响模型结果,从而影响政策建议。考虑到所调查的经济的结构和制度背景,他总是会为自己选择的特定关闭进行辩护。研究经济学的艺术在于使其与现实世界相关联。在智利和巴西的那些年里,泰勒广泛阅读——“斯拉夫、罗宾逊、卡尔多、卡莱茨基和大量人类学著作”(泰勒,2000:667)——具有讽刺意味的是,这些书大多是来自英国剑桥的经济学家的著作。14从巴西利亚回到马萨诸塞州的剑桥,泰勒于1973年加入麻省理工学院,成为经济和营养学系的终身教授,并于1976年成为《发展经济学杂志》的主编。几个主题主导了泰勒在20世纪70年代和80年代的作品:关注产业结构和结构变化;继续强调国际收支是制约发展的主要因素;明确关注收入分配(和分配冲突)作为影响经济增长的驱动因素;缺乏解决结构性失衡和应对外部冲击的自动自我纠正机制。这些结构性因素制约着经济表现,但也可能促进经济增长。泰勒的观点(用他自己的话说)是,“你不能仅仅用生产函数、需求和供给函数来描述一个经济,并最大化这个或那个,而不是制度和历史”(Lavoie, 2015: 251)。泰勒发展了发展中经济体的新型两部门模型,该模型区分了价格出清的农业部门和需求决定的、数量出清的工业部门,并包括恩格尔曲线(用于消费需求),以分析卡莱茨基、卡尔多、普列奥布拉任斯基和西洛斯-拉比尼(Chichilnisky和泰勒,1980年)强调的经济发展的长期问题。泰勒与当时还是麻省理工学院研究生的保罗·克鲁格曼(Paul Krugman)共同撰写了一篇如今已成为经典的论文,表明货币贬值可能会在半工业化经济体中产生收缩效应:毕竟,在现实世界中,(基本消费品和资本品)进口价格的上涨会降低实际收入,从而降低需求和产出,尤其是在出口对汇率不太敏感的情况下(克鲁格曼和泰勒,1978)。泰勒在20世纪70年代的研究成果汇集在他的第一部专著《发展中国家的宏观模型》中(泰勒,1979年)。在20世纪70年代和80年代,泰勒深化了他对CGE模型的研究。1974年,他与斯蒂芬·j·布莱克(Stephen J. Black)合著的论文首次提供了一般均衡模型的实际(政策)应用,以智利经济的35个部门模型的形式(泰勒和布莱克,1974年),该模型基于莱夫·约翰森(Leif Johansen)(1964年)的经典著作《经济增长的多部门研究》。在一个昂贵、耗时、房间大小的大型主机计算时代,求解大规模非线性数值模型并不是一件轻松的事,而约翰森的求解算法涉及对模型中的非线性方程进行对数线性化,效率并不高。Taylor开发了一种新的、更有效的迭代求解算法,它结合了Gauss-Seidel和Newton-Raphson方法,被证明在近似一般均衡结果方面非常强大(Taylor, 1983)。他使用新算法为埃及(Taylor, 1982)、巴基斯坦(McCarthy and Taylor, 1980)和印度(Taylor, Sarkar and rattsoø, 1984)建立了CGE模型。基于埃及CGE模型的模拟显示,取消现有的粮食补贴将导致产出收缩和不利的营养变化。该模型采用了宽泛的Kaleckian规范。正如泰勒回忆的那样:“这些结果并没有让我感到惊讶,但却引发了反对补贴的人的争论,因为他们认为补贴的微观经济效率低下。”1977年1月,在试图终止补贴后,开罗爆发了食品骚乱,我的报告(本身从未发表过)成为了一个小小的导火索。计划不周的分配转移会对宏观经济产生重大影响”(Taylor, 2000: 667-68)。15 .他与学生和同事合作开发的模型面向实际的发展政策问题。这些模型分析集中在生产、进出口和工业化经济体特有的土地所有权结构方面的结构限制内的分配冲突,证明有助于量化政策变化的影响,并迫使人们思考不同因果链的相对重要性。 这些论文的编辑集以Taylor(1990)和Taylor(1993)的名称出版。泰勒1983年出版的这本书为他的“结构主义”宏观经济学的短期和长期编纂提供了一个综合和第一次认真的尝试它包含了他在描述工业化北方和初级资源出口南方之间经济相互作用的模型方面的开创性工作(Taylor, 1981),该模型深受ECLA结构主义的影响,反过来又激发了20世纪80年代南北分析的家庭手工业(例如,Conway和Darity, 1991;Dutt 1989a, 1989b)。在书的某些部分保留了新凯恩斯主义IS-LM模型(外生货币供应)的修改版本,这对他的总体原因没有帮助(Bacha, 1985)。尽管如此,泰勒对工业化的外汇约束和结构主义通货膨胀模型的处理是有启发性的,他的第4章讨论了印度的CGE模型,完全是辉煌的;用Bacha的话来说:“泰勒在发展中国家不同地区应用多部门模式的15年以上的经验,在不到30页的篇幅里被整齐地打包了起来。所有的交易技巧都在一个精湛的阐述中呈现,这应该是发展经济学和经济规划者的学生的一种享受。泰勒还为霍利斯·切纳里和T.N.斯里尼瓦桑编辑的两卷本第一版《发展经济学手册》贡献了两(长)章;这些章节由他的博士生之一Persio Arida共同撰写,涉及短期宏观经济学和长期收入分配和增长(Taylor and Arida, 1988,1989)。1979年至1981年期间,美联储为对抗美国的通货膨胀而收紧货币政策,引发了拉丁美洲和非洲许多(高负债)国家的债务危机。在沃尔克冲击的全球影响之后,泰勒在20世纪80年代和90年代致力于分析和批评稳定、自由化和私有化政策,这些政策被强加给发展中国家,作为国际货币基金组织、世界银行和美国财政部债务减免和财政支持的条件。得到这些华盛顿机构“帮助”的经济体不得不采取严厉措施,整顿财政、开放贸易和资本账户,这些措施导致了这些国家长期的衰退、不平等和贫困加剧,以及失去的十年发展。在经济发展研究所的支持下,泰勒与杰拉尔德·海勒纳合作,组织了18项国际货币基金组织资助的发展中国家经济稳定政策的比较研究;Taylor (1988a, 1989)对这些研究的结果进行了回顾,目的是确定比国际货币基金组织施加的稳定政策更好的替代稳定政策。(这对本文的作者来说当然是正确的,他花了相当多的时间来理解泰勒的各种理论模型,但最终总是从这些努力中学到很多东西。)1991年的这本书被证明是泰勒在马萨诸塞州剑桥市的最后一幕。重要的是,他的重点从只关注发展中国家逐渐转向更广泛地适用于发达国家和发展中国家的宏观经济理论。因此,当主流经济学家通常不加思索地将为发达国家构建的理论应用于发展中国家时,泰勒(1991)开始将他的“结构主义”应用于北方经济体,特别是美国。随着时间的推移,泰勒越来越不满于麻省理工学院对主流经济学的过分强调(Taylor, 2000: 670)。他认为,1980年以后,宏观经济学基本上变得无关紧要了:“主流宏观经济学在很大程度上确实变成了二流的应用数学,针对的是社会内容最少的问题。”(Taylor, 2010: 253)。他决定离开。Darity(2022)写道:“兰斯作为一名正教授,离开了麻省理工学院,这个专业的顶峰部门,在新学院找到了一份工作,这在整个专业领域掀起了一些冲击波。”他还补充说,“新学院有一批杰出的教师,但由于他们对异端的承诺,他们在某种程度上被边缘化了。”兰斯发现新学院对他生命最后三十年的工作来说是一个更加支持和鼓舞人心的环境。”事实上,在他离开后,他已经是最高的生产力似乎只会增加。在新学院,泰勒对世界银行强加给许多发展中国家和(当时)新转型国家的盲目的“合理定价”结构调整计划进行了批评。 奥坎波和泰勒(1998)以及泰勒(1997)对华盛顿共识下的贸易和资本账户自由化、公共企业私有化、金融放松管制和财政紧缩的批评进行了极好的总结。正如Taylor(1997: 151)所指出的,国际货币基金组织和世界银行不会为他们的政策错误付出代价:“一名(世界银行或国际货币基金组织)工作人员带着一种受到惩罚的心态飞回家,代表了对自由化尝试失败的一种回应;一名当地卫生工作者试图帮助营养不良的婴儿从国民收入急剧下降的影响中恢复过来,这是另一回事。与往常一样,泰勒确定了渐进式再分配和增长政策,应该取代国际货币基金组织和世界银行的教条,同时承认生产和金融结构、收入分配以及各国融入全球金融体系的方式对宏观经济政策施加的限制。奥坎波、拉达和泰勒(2006)进一步探讨了这些经济发展的替代战略。可悲的是,俄罗斯在上世纪90年代灾难性的经济表现证明了三位作者的分析是正确的:1989年至1998年,俄罗斯的实际国内生产总值(GDP)下降了44%以上(根据世界银行(World Bank)的数据),而非自然原因造成的死亡率急剧上升。不幸的是,泰勒和他的合著者的观点对实际政策几乎没有影响,因为他们强烈反对“华盛顿共识”的正统观点。更令人担忧的是,哈佛男孩、国际货币基金组织(IMF)和世界银行(World Bank)逃避了对世界历史上由社会工程造成的最大灾难之一的所有专业或道德责任。泰勒与约翰·伊特威尔(John Eatwell)一起,提出了对全球金融市场进行有效国际监管的理由(伊特韦尔和泰勒,2000)。由于大多数经济体已经开放了资本账户(IMF经常敦促它们这么做),它们已经暴露在本质上脆弱的金融市场的变幻莫测之中,在这个市场中,关键参与者的决策是基于对其他投资者行为的猜测。为了稳定资金流入,许多国家的货币当局采取通货紧缩政策(高利率),抑制经济增长,并在危机发生时施加不必要的社会成本。Eatwell和Taylor认为,只有在对全球金融进行适当的国际监管的帮助下,宏观政策中的这种通缩倾向才能消除。在世纪之交之后,在继续研究发展中经济体的同时(奥坎波,拉达和泰勒,2006;Rada and Taylor, 2006;Taylor, 2001,2006), Taylor的主要研究重点果断地转向了对美国经济的分析。受古德温(1967)“增长周期模型”的启发,泰勒开始了分析美国经济增长、有效需求、社会冲突和收入分配之间关系的研究轨迹。Barbosa-Filho和Taylor(2006)以及Taylor(2012)认为,美国经济存在重复的“利润挤压”周期;Taylor、Foley和Rezai(2019)提出了一个需求驱动的长期增长模型,该模型基于古德温的利润挤压周期、卡莱茨基的冲突主张模型和卡尔多的技术进步函数的综合。泰勒还研究了美国的财政政策(Taylor, Proaño, de Carvalho and Barbosa-Filho, 2012),以及美国(日益加剧的)收入和财富不平等(Taylor and Ömer, 2019;Taylor, Rezai, Kumar, Barbosa-Filho and Carvalho, 2017)。2004年,泰勒出版了他的巨著,长达442页,题为《重建宏观经济学:结构主义者的建议和对主流经济学的批评》(泰勒,2004年)。这本书基于他对新学院学生的演讲,有两个目的。一是从结构主义的角度对主流宏观经济学(货币主义、新古典主义、新凯恩斯主义和最近的增长理论)进行批判性的回顾。本书的第二个也是更重要的目的是从结构主义方法中创建一个理论的“范式”。泰勒结构主义方法的核心思想是,一个经济体的制度和生产部门和社会群体之间的分配关系,在决定其宏观行为方面发挥着至关重要的作用。其理论的主要特点是建立在凯恩斯-卡莱茨基有效需求原理的基础上,拒绝劳动和资本充分就业的假设,即萨伊定律。泰勒回归凯恩斯主义的激进根源,将主流宏观经济学归入“难以置信的经济模型博物馆”。在新学派期间,泰勒还发表了两篇重要的评论文章,对Luigi Pasinetti (Taylor, 1995a)和Wynne Godley (Taylor, 2008)的工作进行了深入(重新)解释。 这两篇值得赞赏的评论都是根据经验适用的模型重新制定帕西内蒂和戈德利的替代宏观经济方法的努力,符合泰勒的终身使命。2012年,72岁的泰勒以名誉教授的身份从新学院退休,但继续他的教学、研究和写作。他和邓肯·福利(Duncan Foley)发起了一个项目,调查各国如何协调各自对增长、稳定和可持续性的需求。Foley - Taylor团队被证明是相当富有成效的,他们发表了一系列具有批判性和洞察力的论文,深刻挑战了全球变暖的主流经济学方法,包括最近在《自然气候变化》上发表的一篇文章(Semieniuk, Taylor, Rezai和Foley, 2021)。Foley和Taylor认为,主流气候经济学存在逻辑上的不一致性,并在气候行动和经济增长之间做出了错误的权衡。威廉·诺德豪斯(William Nordhaus)等人利用新古典增长模型,将减缓气候变化的情景与(用他们的话说)“最优”的一切照旧(BAU)基准进行了比较,并辩称,就放弃未来经济增长而言,减缓气候变化(需要为绿色投资节省额外资金)具有机会成本。然而,这是误导性的(就新古典逻辑本身而言),因为BAU情景不是“最佳”情景,因为它包括温室气体(GHG)排放驱动的负外部性。这种(不断增加的)负外部性的存在意味着市场价格太低(因为它们没有考虑到碳排放的社会成本),因此,“福祉”被高估了(因为用于计算它的价格被扭曲了)。由此可见,纠正这种负外部性并没有真正的经济机会成本——这与所有气候经济模型由于设计错误所暗示的相反。更重要的是,利用从传统投资中转移出来的资源,可以提高今世后代的经济福利。换句话说,纠正温室气体外部性会给人类带来净收益,而不是像错误的新古典主义教条希望我们相信的那样,带来成本。2014年,泰勒和福利因在气候经济学方面的共同研究而获得莱昂惕夫奖,这一研究从根本上质疑了政府间气候变化专门委员会和各国政府使用的所有气候经济分析的基础。21泰勒还继续创作关于美国经济的一流作品:他的论文涉及长期停滞(Taylor, 2017)、不平等加剧(Taylor and Ömer, 2019)、对现代货币理论的批判(Taylor, 2019)和不断上升的通货膨胀(Taylor and Barbosa-Filho, 2021)。这些论文大多是由纽约的新经济思维研究所(INET)作为工作论文发表的。通过与INET的合作,他的作品得到了比以前更多的曝光,特别是在年轻一代中;泰勒很喜欢这样,而且工作效率很高,在短短几年内发表了数十篇广为流传的博客和一些采访。泰勒的最后一本书《从里根到特朗普的宏观经济不平等》提供了这项研究的综合,该书由Özlem Ömer撰写(泰勒和Ömer, 2020)。泰勒的观点是,美国收入和财富不平等的加剧,是由工资抑制和有利于顶层1%家庭的结构性变化推动的。在过去的40年里(从里根开始),美国的不平等程度缓慢但非常稳定地上升,泰勒的分析表明,要扭转这一趋势需要几十年;没有快速解决办法。有趣的是(在Ömer的帮助下)Taylor为美国建立了一个基于国民生产和收入账户、资金流动和全资产负债表会计的“结构主义”模拟模型,这在重要方面可以追溯到他为博士学位和Belindia模型所建立的模拟模型。他的结构主义观点强烈表明,美国已成为一个双重经济体,其中包括一个具有高生产率增长和高薪工作的充满活力的部门,以及一个以服务业为基础、以极低工资吸收剩余劳动力的停滞部门。他的最后一本关于美国的书彻底颠覆了刘易斯的模式,又回到了他上世纪60年代对发展中国家的早期研究。兰斯·泰勒于2020年2月被诊断出患有癌症。在他接受治疗的长时间里,他经常向几个朋友和同事汇报自己的健康状况。在这些邮件中,他也会提到他正在研究的东西,事实上,他的论文一直在寄来。他最后一次更新是在2022年5月14日。2022年6月1日,他在INET网站上发表了最后一篇文章:新凯恩斯主义宏观经济学家Axel Leijunhufvud(1933-2022)的讣告。 兰斯·泰勒于2022年8月15日在缅因州华盛顿去世,留下妻子伊冯、两个孩子和三个孙子。兰斯•泰勒的遗产将通过他多产的著作,以及一代又一代受他指导、受他作品启发的非正统经济学家传承下去。在构建一种与正统宏观经济方法相关且可行的替代方案方面,泰勒所发挥的重要作用再怎么强调都不为过。此外,他在后撒切尔/里根时代做到了这一点,在这个时代,面向现实世界的经济方法从学术界被彻底清除,他成功地保持了(激进的)凯恩斯主义传统,不仅“活着”,而且“踢了”。他的遗产是综合了卡莱茨基、卡尔多、古德温、马克思和凯恩斯的理论见解,这些理论见解适用于现实世界,并且仍然与现实世界相关。泰勒复兴和振兴了由剑桥经济学家理查德·斯通和韦恩·戈德利以及他的导师霍利斯·查纳利开创的应用政策导向的建模方法,提供了一致的会计框架(如社会会计矩阵,或SAMs),这些框架揭示了经济的生产结构、收入分配和需求构成,可以用来为分析提供背景。幸运的是,泰勒为我们提供了如何做经济学的有力指导。第一个重要的建议是,经济学家应该对计量经济学持健康的怀疑态度。泰勒的怀疑并非基于对利害攸关的问题的误解,而是基于对应用计量经济学方法所作假设的有效性和哲学基础的清晰理解。与凯恩斯(1939)类似,在回顾丁伯根的工作时,泰勒理解计量经济学分析所基于的假设的局限性。即使他没有详细说明他的保留意见,泰勒的观点是,设计用于分析固定条件下受控实验中重复采样的方法,不容易扩展到基本上不可预测、不确定、复杂、不稳定、相互依存和不断变化的社会现实。根据泰勒的说法,即使在拥有长期可靠的国民账户时间序列和充足的投入产出数据的国家,也没有令人信服的理由相信任何一组计量经济学方程的预测。问题在于,“任何数量的理论结构都可以强加于一个国家现有的一组具有令人印象深刻的拟合优度的数据上”(Taylor, 1995b: 275)。因此,根据所选择的理论结构,未来的预测将出现强烈的分歧。发展中国家也是如此,这些国家的时间序列数据往往更有问题,并由于债务危机或贸易条件变化而出现结构性断裂。泰勒本人并不需要使用计量经济学来理解经济关系的本质或经济系统的行为。相反,他开始强调经济分析的“宏观基础”,利用复式记账法对经济数据施加结构这一事实换句话说,即使“经济”是一个复杂的进化系统,我们无法准确预测12个月后会发生什么,但我们确实知道,12年后,生产中产生的增加值等于收入,而收入又与最终需求相匹配。因此,在对未来几年将要发生的事情进行合理假设的情况下,更新资产管理中的数字通常会提供任何人都可以预期的良好经济预测(Taylor, 1995b: 276)。泰勒给出的第二个合理的指导方针是,“面对凯恩斯的“笼罩着我们未来的时间和无知的黑暗力量”,一定程度的谦卑是适合模型构建者的”(泰勒,2016:496)。毕竟,模型是愚蠢的,它们按照闭包告诉它们的去做,因此很容易产生经济上难以置信的结果。模型是有用的,因为它们可以执行定量的思维实验,例如,在什么情况下,哪种“效应”将主导反应。但即便如此,模型结果也只有在与经验、直觉和洞察力相结合,并在适当的背景下才有用在最好的情况下,(CGE)模型可以被视为特别的数值练习,取决于建模者对宏观关闭规则的选择,这在帐户中是一致和平衡的-仅此而已用他的话来说:“我们完全有理由不太认真地对待任何特定模型的结果。”但结果的范围可能会告诉你手头的可能性”(同上:512)。最后一套指导方针可以从泰勒对适用性和公共利益的关注中得到。从他对Amartya Sen(1982)关于社会选择理论的书(Taylor, 1984)的精彩评论中,我们可以提炼出Taylor关于什么是有用的研究,什么不是的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Development and Change
Development and Change DEVELOPMENT STUDIES-
CiteScore
6.80
自引率
3.30%
发文量
46
期刊介绍: Development and Change is essential reading for anyone interested in development studies and social change. It publishes articles from a wide range of authors, both well-established specialists and young scholars, and is an important resource for: - social science faculties and research institutions - international development agencies and NGOs - graduate teachers and researchers - all those with a serious interest in the dynamics of development, from reflective activists to analytical practitioners
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