{"title":"The Murky Future of Monetary Policy","authors":"Mickey D. Levy, Charles I. Plosser","doi":"10.20955/r.104.178-88","DOIUrl":"https://doi.org/10.20955/r.104.178-88","url":null,"abstract":"The Federal Reserve first published a “Statement on Longer-run Goals and Monetary Policy Strategy” in January 2012.1 The purpose was to enhance transparency and accountability by clarifying its interpretation of the statutory mandates established by Congress. The two key elements of that effort were to formally establish a 2 percent longer-run inflation target as being consistent with its price stability mandate and to stress that it was not appropriate to establish a quantitative target for maximum employment, as such a target was not directly observable and was influenced by many factors unrelated to monetary policy. This document was frequently referred to by the Fed as the “consensus statement.” During the ensuing eight years, the economy continued its recovery from the 2007-09 recession. The unemployment rate fell to a 50-year low of 3.5 percent prior to the pandemic and government shutdowns of 2020. The inflation rate remained modestly below the Fed’s adopted inflation target, averaging about 1.4 percent over the 2012-19 period. In response to concerns about low inflation In August 2020, the Federal Reserve unveiled its new strategic framework. One major objective of the Fed was to address its concerns over the potential consequences for the conduct of monetary policy when the policy rate was constrained by its effective lower bound. This article concludes that there are significant flaws in the new strategy and that it encourages a more discretionary approach to monetary policy and increases the risks of policy errors. The new framework is an overly complex and asymmetric flexible average inflation targeting scheme that introduces a significant inflationary bias into policy and expands the scope for discretion by broadening the Fed’s employment mandate to “maximum inclusive employment.” In a postscript, the article describes how quickly the flaws have been revealed and urges a reset toward a more systematic and coherent strategy that is transparent and broadly understood by the public. (JEL E52)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89812463","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":"Failing to Provide Public Goods: Why the Afghan Army Did Not Fight","authors":"Rohan Dutta, D. Levine, S. Modica","doi":"10.20955/r.104.110-19","DOIUrl":"https://doi.org/10.20955/r.104.110-19","url":null,"abstract":"The theory of public goods is mainly about the di(cid:30)culty in paying for them. Here we ask why when funding is available public goods may never-the-less not be provided as in the case of the Afghan Army. We explore this issue using a simple model of a public good that can be provided through collective action and peer pressure by modeling the self organization of a group (the Afghan Army) as a mechanism design problem. We consider two kinds of transfer subsidies from an external entity such as the US government. One is a Pigouvian subsidy that simply pays the salaries rewarding individuals who provide e(cid:27)ort. The second is an output/resource multiplier (for example, the provision of military equipment, tactical skills, training, and so forth) that ampli(cid:28)es the e(cid:27)ort provided through collective action. We show that the introduction of a Pigiouvian subsidy can result in less e(cid:27)ort being provided than in the absence of a subsidy. By contrast, an output/resource multiplier subsidy, which is useful only if collective action is taken, necessarily increases output via an increase in e(cid:27)ort. Our conclusion is that the fact that the USA provided the wrong kind of subsidy may have been among the reasons why the Afghan army did not (cid:28)ght.","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77116531","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":"Disparities in COVID-19’s Impact on Employment and Household Consumption","authors":"Andrea Flores, George-Levi Gayle","doi":"10.20955/r.104.224-65","DOIUrl":"https://doi.org/10.20955/r.104.224-65","url":null,"abstract":"This article investigates the socio-demographic differences in household responses to the COVID-19 pandemic regarding employment and consumption. We find that the significant racial disparities in employment observed during the pandemic can be explained, in part, by differences in household income, composition, education, and occupational sorting. Nonetheless, we document pervasive racial, income, and educational gradients when focusing on household food insecurity and individuals' reliance on social insurance programs and other government assistance during the pandemic. Overall, our results highlight that the disparities observed for household income and education tend to be the most significant and most pervasive following the onset of the COVID-19 crisis. (JEL J21, J24, J63, I38)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76079369","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":"Global Supply Chain Disruptions and Inflation During the COVID-19 Pandemic","authors":"Ana Maria Santacreu, J. LaBelle","doi":"10.20955/r.104.78-91","DOIUrl":"https://doi.org/10.20955/r.104.78-91","url":null,"abstract":"We investigate the role supply chain disruptions during the COVID-19 pandemic played in U.S. producer price index (PPI) inflation. We exploit pre-pandemic cross-industry variation in sourcing patterns across countries and interact it with measures of international supply chain bottlenecks during the pandemic. We show that exposure to global supply chain disruptions played a significant role in U.S. cross-industry PPI inflation between January and November 2021. If bottlenecks had followed the same path as in 2019, PPI inflation in the manufacturing sector would have been 2 percentage points lower in January 2021 and 20 percentage points lower in November 2021. (JEL F13, F14, F44)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77554414","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":"Understanding the Gender Earnings Gap: Hours Worked, Occupational Sorting, and Labor Market Experience","authors":"M. Canon, Limor Golan, Cody A. Smith","doi":"10.20955/R.103.175-205","DOIUrl":"https://doi.org/10.20955/R.103.175-205","url":null,"abstract":"The labor force participation of women has increased substantially since the 1960s. At the same time, the gender earnings gap has declined from about 40 percent in the late 1960s to less than 28 percent in the early 1990s and has stopped converging since.1 Much of the gender earnings gap is explained by gender differences in labor force attachment and accumulated labor market experience. In particular, the gender earnings gap increases with age as the experience gap increases.2 One explanation for the remaining gender earnings gap is that many jobs disproportionately reward working long hours.3 In many jobs, the pay is nonlinear in hours worked and penalizes workers who choose to work fewer hours. This reward structure tends to affect women of childbearing years disproportionately and also affects their occupational choices. Furthermore, in most occupations, the representation of women at the top-paying jobs is low—even if at lower levels there are many women.4 This article documents life-cycle gender differences in labor market outcomes using longitudinal data of a cohort of individuals from the National Longitudinal Survey of Youth 1979. As in other datasets, the gender earnings gap increases with age. We find that hours worked and labor market experience are the most substantial observable variables in explaining the gender pay gap. We also focus on patterns in occupational changes over the life cycle, as a large part of pay growth occurs when workers change jobs. We find that college-educated men, on average, move into occupations with higher task complexity. We further show that women are less likely to change occupations. Moreover, on average, pay grows when workers change occupations, but the growth is smaller for women. Finally, we discuss theories that are consistent with the patterns we document. (JEL J16, J24, J31)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"318 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83665725","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":"Lockdown Responses to COVID-19","authors":"Violeta A. Gutkowski","doi":"10.20955/R.103.127-51","DOIUrl":"https://doi.org/10.20955/R.103.127-51","url":null,"abstract":"This article describes the relationship between countries' lockdown responses to the COVID-19 pandemic and those countries' political rights and civil liberties, macroeconomic variables, and vulnerability to the virus Political rights and civil liberties cannot explain the differences in lockdown timing across countries Countries with high contagion exposure due to weak water sanitation and weak health systems locked down their economies as fast as possible to reduce contagion However, countries more vulnerable to COVID-19 due to large fractions of elderly and smokers in the population did not respond differently from less-vulnerable countries Interestingly, macroeconomic variables that did affect the timing of lockdowns were the sizes of a country's financial and trading sectors, even when differences in income and population density are taken into account","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84563916","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":"Optimal Capital Taxation and Precautionary Savings","authors":"Yunmin Chen, YiLi Chien, C. C. Yang","doi":"10.20955/r.103.333-49","DOIUrl":"https://doi.org/10.20955/r.103.333-49","url":null,"abstract":"There are multiple reasons to motivate the role of capital taxation in the heterogenous-agent incomplete-markets (HAIM) model. One is the production inefficiency caused by precautionary savings. The other is the wealth redistribution role played by capital taxation. To distinguish between these two reasons, this article uses an analytical tractable HAIM model with a degenerated distribution of wealth while preserving the role of precautionary savings. The degenerated wealth distribution shuts down the distributional role played by capital taxation. Our results show that, with no role to play for redistribution, the government bond is more suitable than capital tax for addressing the production inefficiency caused by households’ precautionary savings in the HAIM model. C61, E22, E62, H21, H30)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85154118","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":"Regional Gasoline Price Dynamics","authors":"J. Bennett, Michael T. Owyang, E. K. Vermann","doi":"10.20955/r.103.289-314","DOIUrl":"https://doi.org/10.20955/r.103.289-314","url":null,"abstract":"Oil shocks have been important factors in most postwar recessions (Hamilton, 2011). One of the primary channels through which oil price shocks are felt by consumers is through their effect on gasoline prices. Similar to other prices and exchange rates, pass-through indicates the degree to which oil price fluctuations affect gasoline prices. The extant literature has identified a number of asymmetries in the pass-through of oil price shocks to gasoline prices, with particular focus on the hypothesis that gasoline prices respond more rapidly to increases in oil prices and less rapidly to decreases in oil prices. The previous literature finds mixed evidence of asymmetry in the gasoline market, with variety in the type of asymmetry, the level of geographic granularity (e.g., national versus regional), and the time sample and frequency of data used. Much of the extant literature A large literature has argued that gasoline prices respond more rapidly to increases in oil prices than to decreases in oil prices. Moreover, some of this literature has found heterogeneous asymmetry in gas price responses across cities. Here, we reconsider the causes of heterogeneous asymmetric passthrough. Consistent with the previous literature, we find heterogeneity in the magnitudes of asymmetric pass-through across cities. We also find a large number of cities that exhibit no asymmetries. We then examine whether heterogeneous asymmetry results from city-level differences in (i) the demand for gasoline, (ii) the supply of gasoline (proxied by the distance from Cushing, Oklahoma), or the cities’ fiscal environments (proxied by the level of taxes). We examine whether these characteristics affect either the magnitudes of the asymmetries or the presence of asymmetries. While we find that city-level characteristics cannot (robustly) explain variation in the magnitudes of the asymmetries, they do seem to affect the probability that a city experiences asymmetric pass-through. (JEL C32, Q41)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81223460","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":"Why Is the Labor Share Declining?","authors":"S. Aum, Yongseok Shin","doi":"10.20955/r.102.413-28","DOIUrl":"https://doi.org/10.20955/r.102.413-28","url":null,"abstract":"The fraction of national income accruing to labor (the labor share) had been roughly constant in developed economies for much of the 20th century but has fallen since the 1980s. We review several of the leading explanations in the literature for the declining labor share. We then point to hitherto unexplored dimensions of the data and provide suggestive evidence for a new explanation. In particular, we show that the labor share began a steeper descent in 2000. This more recent break in the labor-share trend coincides with the rapid rise of software investment, which has left a larger impact on service industries (than manufacturing) and on high-skill, cognitive occupations (than middle-skill, routine occupations).","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80720370","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 Effects of the 2018 U.S. Trade Policy: A State-Level Analysis","authors":"Ana Maria Santacreu, M. Peake","doi":"10.20955/r.102.385-412","DOIUrl":"https://doi.org/10.20955/r.102.385-412","url":null,"abstract":"The U.S. trade policy that started in 2017 has spiraled into a return to protectionism. The trade war began with recommendations from the U.S. administration to implement tariffs on specific goods (e.g., solar panels, washing machines, and steel and aluminum) in an attempt to protect national security and mitigate negative impacts faced by domestic producers of such products.1 Tariffs on these goods were enacted in 2018 and were followed by retaliatory tariffs from China, along with retaliatory tariffs from the European Union (EU) and Canada on steel, aluminum, and agricultural products. The United States has continued to levy tariffs onto major trading partners such as Canada, Mexico, the EU, and China.2 Perhaps the most noteworthy battle in the tariff front exists between the United States and China, given the growing tension between the two countries as the trade war progresses. In this article, we exploit variation in sector-state exposure to international trade and evaluate, empirically, the effect of trade policy on U.S. output growth and employment. Recent papers have explored the effect of the trade war on the United States through the lens of a We evaluate, empirically, the effect of changes in trade policy during the 2018-19 trade war on U.S. economic activity. We begin by documenting that sectors and states across the United States are heterogeneous in their exposure to international trade. To do that, we construct a measure of exposure that combines the share of a sector’s gross output that is accounted for by trade with the pattern of comparative advantage of each state in that sector. We then exploit cross-state heterogeneity in exposure to international trade and correlate it with measures of economic activity across U.S. states. Our findings suggest that states that were very exposed to trade at the onset of the trade war experienced worse outcomes in terms of employment and output growth. Our analysis is not aimed at concluding any causality effects, but instead focuses on correlations. (JEL F10, F13, F14)","PeriodicalId":83545,"journal":{"name":"World review (Brisbane, Qld.)","volume":"1004 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88307444","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}