Oxford Research Encyclopedia of Economics and Finance最新文献

{"title":"The 1918–1919 Influenza Pandemic in Economic History","authors":"M. Karlsson, Daniel Kühnle, Nikolaos Prodromidis","doi":"10.1093/acrefore/9780190625979.013.682","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.682","url":null,"abstract":"Due to the similarities with the COVID–19 pandemic, there has been a renewed interest in the 1918–1919 influenza pandemic, which represents the most severe pandemic of the 20th century with an estimated total death toll ranging between 30 and 100 million. This rapidly growing literature in economics and economic history has devoted attention to contextual determinants of excess mortality in the pandemic; to the impact of the pandemic on economic growth, inequality, and a range of other outcomes; and to the impact of nonpharmaceutical interventions.\u0000 Estimating the effects of the pandemic, or the effects of countermeasures, is challenging. There may not be much exogenous variation to go by, and the historical data sets available are typically small and often of questionable quality. Yet the 1918–1919 pandemic offers a unique opportunity to learn how large pandemics play out in the long run.\u0000 The studies evaluating effects of the pandemic, or of policies enacted to combat it, typically rely on some version of difference-in-differences, or instrumental variables. The assumptions required for these designs to achieve identification of causal effects have rarely been systematically evaluated in this particular historical context. Using a purpose-built dataset covering the entire Swedish population, such an assessment is provided here. The empirical analysis indicates that the identifying assumptions used in previous work may indeed be satisfied. However, the results cast some doubt on the general external validity of previous findings as the analysis fails to replicate several results in the Swedish context. These disagreements highlight the need for additional studies in other populations and contexts which puts the spotlight on further digitization and linkage of historical datasets.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116618909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Economic Implications of Training for Firm Performance","authors":"Pedro S. Martins","doi":"10.1093/acrefore/9780190625979.013.657","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.657","url":null,"abstract":"A small literature on the relationship between employee training and firm performance is currently emerging. This line of research is particularly promising given the underexplored potential of training to drive productivity, wages, and employment. Until recently, training was regarded as a costly and risky investment because workers may leave their firm after being trained. However, studies on labor and education economics have found that training results in high returns for firms and that the costs of training can be recouped in a relatively short time. These results follow from different econometric identification approaches, including a small but growing number of randomized controlled trials. Moreover, most training is of a general nature and therefore applicable in other firms, which is at odds with the original theory of training but consistent with novel models that emphasize labor market power. There are a number of possibilities for future research, including a better understanding of the heterogeneity and patterns of training contents and formats across firms and workers, the differentiation of the effects of training along such dimensions, the role of labor market competition in driving training, the extent to which the productivity effects of training are shared with employees, the role of labor market institutions (including minimum wage, collective bargaining, and occupational licensing) in the dimensions above, and the firm performance effects of training provided to unemployed job seekers (as opposed to employees). Evaluation of the public training programs developed during the Covid-19 pandemic crisis and new forms of training in the context of the growth of remote work also merit further investigation.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114320910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lobbying in the Political Economy of International Trade","authors":"Devashish Mitra","doi":"10.1093/acrefore/9780190625979.013.706","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.706","url":null,"abstract":"While the role of lobbying in trade policy determination has been studied in a formal way since the early 1980s, it was the pathbreaking 1994 work by Grossman and Helpman in the following decade that led many scholars, using that framework (often with some modifications), to study many interesting political economy issues in the trade policy arena. Importantly, Grossman and Helpman were also the first to provide microfoundations to lobbying within a multisectoral, specific-factors framework. Moreover, the industry-level protection they derive is an empirically estimable function of measurable industry characteristics and other political and economic factors. With everything else held constant, organized sectors are able to obtain higher protection than unorganized sectors, with organized-sector protection inversely related to import penetration and import demand elasticity. Grossman and Helpman’s work gave an impetus to theory-driven empirical work in the political economy of trade policy, including the empirical investigation of the Grossman–Helpman model itself and its many extensions. There is now also a fairly large literature trying to explain the unrealistically high empirical estimates of the model’s parameters (representing the proportion of population politically organized and the weight the government attaches to aggregate welfare relative to political contributions). Extensions for empirical investigation that include bringing in competition between upstream and downstream lobbies, imperfect capturing of nontariff barrier (NTB) rents by the government, foreign lobbies, the possibility of misclassfication of sectors into organized and unorganized, and so forth partially correct the unrealistic parameter estimates. In addition, there are extensions that have been applied toward explaining policy changes and puzzles. Those extensions deal with lobby formation, trade agreements, unilateralism versus reciprocity in trade policy, lobbying for protection in declining industries, firm-level lobbying, the choice of policy instruments, and so forth. Despite so much work already done on lobbying and trade policy, the existing literature is deficient in the study of the choice of instruments, the antitrade bias in trade policy, and informational lobbying.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132973419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Macroeconomics of Stratification","authors":"S. Seguino","doi":"10.1093/acrefore/9780190625979.013.747","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.747","url":null,"abstract":"Stratification economics, which has emerged as a new subfield of research on inequality, is distinguished by a system-level analysis. It explores the role of power in influencing the processes and institutions that produce hierarchical economic and social orderings based on ascriptive characteristics. Macroeconomic factors play a role in buttressing stratification, especially by race and gender. Among the macroeconomic policy levers that produce and perpetuate intergroup inequality are monetary policy, fiscal expenditures, exchange rate policy, industrial policy, and trade, investment, and financial policies. These policies interact with a stratification “infrastructure,” comprised of racial and gender ideologies, norms, and stereotypes that are internalized at the individual level and act as a “stealth” factor in reproducing hierarchies. In stratified societies, racial and gender norms and stereotypes act to justify various forms of exclusion from prized economic assets such as good jobs. For example, gendered and racial stereotypes contribute to job segregation, with subordinated groups largely sequestered in the secondary labor market where wages are low and jobs are insecure. The net effect is that subordinated groups serve as shock absorbers that insulate members of the dominant group from the impact of negative macroeconomic phenomena such as unemployment and economic volatility. Further, racial and gender inequality have economy-wide effects, and play a role in determining the rate of economic growth and overall performance of an economy. The impact of intergroup inequality on macro-level outcomes depends on a country’s economic structure. While under some conditions, intergroup inequality acts as a stimulus to economic growth, under other conditions, it undermines societal well-being. Countries are not locked into a path whereby inequality has a positive or negative effect on growth. Rather, through their policy decisions, countries can choose the low road (stratification) or the high road (intergroup inequality). Thus, even if intergroup inequality has been a stimulus to growth in the past, it is possible to choose an equity-led growth path.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"7 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122922146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications of Web Scraping in Economics and Finance","authors":"P. Śpiewanowski, Oleksandr Talavera, Linh Vi","doi":"10.1093/acrefore/9780190625979.013.652","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.652","url":null,"abstract":"The 21st-century economy is increasingly built around data. Firms and individuals upload and store enormous amount of data. Most of the produced data is stored on private servers, but a considerable part is made publicly available across the 1.83 billion websites available online. These data can be accessed by researchers using web-scraping techniques.\u0000 Web scraping refers to the process of collecting data from web pages either manually or using automation tools or specialized software. Web scraping is possible and relatively simple thanks to the regular structure of the code used for websites designed to be displayed in web browsers. Websites built with HTML can be scraped using standard text-mining tools, either scripts in popular (statistical) programming languages such as Python, Stata, R, or stand-alone dedicated web-scraping tools. Some of those tools do not even require any prior programming skills.\u0000 Since about 2010, with the omnipresence of social and economic activities on the Internet, web scraping has become increasingly more popular among academic researchers. In contrast to proprietary data, which might not be feasible due to substantial costs, web scraping can make interesting data sources accessible to everyone.\u0000 Thanks to web scraping, the data are now available in real time and with significantly more details than what has been traditionally offered by statistical offices or commercial data vendors. In fact, many statistical offices have started using web-scraped data, for example, for calculating price indices. Data collected through web scraping has been used in numerous economic and finance projects and can easily complement traditional data sources.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126631599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trade Finance and Payment Methods in International Trade","authors":"JaeBin Ahn","doi":"10.1093/acrefore/9780190625979.013.326","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.326","url":null,"abstract":"International transactions are riskier than domestic transactions for several reasons, including, but not limited to, geographical distance, longer shipping times, greater informational frictions, contract enforcement, and dispute resolution problems. Such risks stem, fundamentally, from a timing mismatch between payment and delivery in business transactions. Trade finance plays a critical role in bridging the gap, thereby overcoming greater risks inherent in international trade. It is thus even described as the lifeline of international trade, because more than 90% of international transactions involve some form of credit, insurance, or guarantee. Despite its importance in international trade, however, it was not until the great trade collapse in 2008–2009 that trade finance came to the attention of academic researchers.\u0000 An emerging literature on trade finance has contributed to providing answers to questions such as: Who is responsible for financing transactions, and, hence, who would need liquidity support most to sustain international trade? This is particularly relevant in developing countries, where the lack of trade finance is often identified as the main hindrance to trade, and in times of financial crisis, when the overall drying up of trade finance could lead to a global collapse in trade.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Business Cycles and Apprenticeships","authors":"Samuel Muehlemann, Stefan Wolter","doi":"10.1093/acrefore/9780190625979.013.655","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.655","url":null,"abstract":"The economic reasons why firms engage in apprenticeship training are twofold. First, apprenticeship training is a potentially cost-effective strategy for filling a firm’s future vacancies, particularly if skilled labor on the external labor market is scarce. Second, apprentices can be cost-effective substitutes for other types of labor in the current production process. As current and expected business and labor market conditions determine a firm’s expected work volume and thus its future demand for skilled labor, they are potentially important drivers of a firm’s training decisions.\u0000 Empirical studies have found that the business cycle affects apprenticeship markets. However, while the economic magnitude of these effects is moderate on average, there is substantial heterogeneity across countries, even among those that at first sight seem very similar in terms of their apprenticeship systems. Moreover, identification of business cycle effects is a difficult task. First, statistics on apprenticeship markets are often less developed than labor market statistics, making empirical analyses of demand and supply impossible in many cases. In particular, data about unfilled apprenticeship vacancies and unsuccessful applicants are paramount for assessing potential market failures and analyzing the extent to which business cycle fluctuations may amplify imbalances in apprenticeship markets. Second, the intensity of business cycle effects on apprenticeship markets is not completely exogenous, as governments typically undertake a variety of measures, which differ across countries and may change over time, to reduce the adverse effects of economic downturns on apprenticeship markets. During the economic crisis related to the COVID-19 global pandemic, many countries took unprecedented actions to support their economies in general and reacted swiftly to introduce measures such as the provision of financial subsidies for training firms or the establishment of apprenticeship task forces. As statistics on apprenticeship markets improve over time, such heterogeneity in policy measures should be exploited to improve our understanding of the business cycle and its relationship with apprenticeships.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123407167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Childcare and Children’s Development: Features of Effective Programs","authors":"J. Blanden, B. Rabe","doi":"10.1093/acrefore/9780190625979.013.662","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.662","url":null,"abstract":"Governments around the world are increasingly investing resources for young children, and universal provision of early childhood education and care (ECEC) has become widespread. Children’s development is affected by the investments they receive both within and outside the household. A simple theoretical framework predicts that the provision of public childcare will improve children’s development if it offers more stimulation than the care it replaces. Generally, carefully designed studies show that the provision of early childcare is beneficial, especially for children from disadvantaged backgrounds. This is in line with expectations that the alternative care experienced by children from less affluent, less educated, and immigrant backgrounds is likely to be of lower quality. Interestingly, however, studies show that the children who would benefit the most are least likely to receive care, providing a challenge for policy makers. Some programs, such as the $5-per-day childcare in Quebec, have negative effects and therefore may be of poor quality. However, comparing results across programs that vary in several dimensions makes it difficult to separate out the ingredients that are most important for success. Studies that focus on identifying the factors in ECEC that lead to the greatest benefit indicate that some standard measures such as staff qualifications are weakly linked to children’s outcomes, whereas larger staff–child ratios and researcher-measured process quality are beneficial. Spending more time in high-quality childcare from around age 3 has proved to be beneficial, whereas the effect of an increase in childcare for younger children is particularly sensitive to each program’s features and context.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"78 3 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131205024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Wage Formation in Empirical Macroeconometric Models","authors":"Ragnar Nymoen","doi":"10.1093/acrefore/9780190625979.013.641","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.641","url":null,"abstract":"The specification of model equations for nominal wage setting has important implications for the properties of macroeconometric models and requires system thinking and multiple equation modeling. The main models classes are the Phillips curve model (PCM), the wage–price equilibrium correction model (WP-ECM), and the New Keynesian Phillips curve (NKPCM). The PCM was included in the macroeconometric models of the 1960s. The WP‑ECM arrived in the late 1980s. The NKPCM is central in dynamic stochastic general equilibrium models (DSGEs). The three model classes can be interpreted as different specifications of the system of stochastic difference equations that define the supply side of a medium-term macroeconometric model. This calls for an appraisal of the different wage models, in particular in relation to the concept of the non-accelerating inflation rate of unemployment (NAIRU, or natural rate of unemployment), and of the methods and research strategies used. The construction of macroeconomic model used to be based on the combination of theoretical and practical skills in economic modeling. Wage formation was viewed as being forged between the forces of markets and national institutions. In the age of DSGE models, macroeconomics has become more of a theoretical discipline. Nevertheless, producers of DSGE models make use of hybrid forms if an initial theoretical specification fails to meet a benchmark for acceptable data fit. A common ground therefore exists between the NKPC, WP‑ECM, and PCM, and it is feasible to compare the model types empirically.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132144676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Race, Ethnicity, and Retirement Security in the United States","authors":"Dania V. Francis, C. Weller","doi":"10.1093/acrefore/9780190625979.013.741","DOIUrl":"https://doi.org/10.1093/acrefore/9780190625979.013.741","url":null,"abstract":"U.S. workers need to save substantial amounts to supplement Social Security, a near-universal but basic public retirement benefit. Yet wealth inequality is widespread by race and ethnicity, so that households of color often have less wealth than White households. This wealth inequality is reflected in a massive retirement savings gap by race and ethnicity, so that households of color often have less wealth than White households. In 2016 Black households had a median retirement savings account balance of $23,000, compared to $67,000 for White households. Many people of color will face substantial and potentially harmful cuts to their retirement spending. They may, for example, find it more difficult to pay for housing or healthcare.\u0000 This retirement gap is the result of several factors. Households of color, especially Black and Latino households, are less likely to receive large financial gifts and inheritances from their families. They have less wealth decades and often centuries of discrimination and exploitation in society. They thus have to save more for retirement on their own. Yet Black, Latino, and many Asian American workers face greater obstacles in saving for retirement than is the case for White workers. These obstacles are especially pronounced in retirement savings accounts. People of color have less access to these retirement benefits through their employers, contribute less due to greater concurrent economic risks, and build less wealth over time due to less stable earnings and more career disruptions. As a result, people of color often use home equity as a form of retirement savings, but they also face more financial risks associated with homeownership. In addition, many people of color face higher costs during retirement, especially higher healthcare costs and more widespread caregiving and financial responsibilities for family members.\u0000 The coronavirus pandemic has exacerbated many of the obstacles and risks associated with retirement saving for people of color, who experienced sharper increases in unemployment and more widespread healthcare challenges due to greater exposure to the virus. Many Black, Latino, and Asian families had to rely more heavily on their own savings during the pandemic than was the case for White households.\u0000 A range of public policies have been proposed or implemented, especially at the state level, to address some of the obstacles that people of color face in saving for retirement. Retirement researchers will need to investigate whether and how the pandemic has affected racial differences in retirement security as well as analyze how new policy efforts could shrink the racial differences in retirement wealth.","PeriodicalId":211658,"journal":{"name":"Oxford Research Encyclopedia of Economics and Finance","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121741877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}