2期

最新文章

• Valid Two-Step Identification-Robust Confidence Sets for GMM AI翻译
  作者：Andrews, Isaiah
  作者单位：Massachusetts Institute of Technology (MIT)
  摘要：In models with potentially weak identification, researchers often decide whether to report a robust confidence set based on an initial assessment of model identification. Two-step procedures of this sort can generate large coverage distortions for reported confidence sets, and existing procedures for controlling these distortions are quite limited. This paper introduces a generally applicable approach to detecting weak identification and constructing two-step confidence sets in GMM. This appro...
• The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-Being Data AI翻译
  作者：De Neve, Jan-Emmanuel; Ward, George; De Keulenaer, Femke; Van Landeghem, Bert; Kavetsos, Georgios; Norton, Michael I.
  作者单位：University of Oxford; Massachusetts Institute of Technology (MIT); University of Sheffield; Maastricht University; IZA Institute Labor Economics; University of London; Queen Mary University London; Harvard University
  摘要：Are individuals more sensitive to losses than gains in terms of economic growth?We find that measures of subjective well-being are more than twice as sensitive to negative as compared to positive economic growth. We use Gallup World Poll data from over 150 countries, BRFSS data on 2.3 million U.S. respondents, and Eurobarometer data that cover multiple business cycles over four decades. This research provides a new perspective on the welfare cost of business cycles, with implications for growt...
• The Economics of Attribute-Based Regulation: Theory and Evidence from Fuel Economy Standards AI翻译
  作者：Ito, Koichiro; Sallee, James M.
  作者单位：University of Chicago; National Bureau of Economic Research; University of California System; University of California Berkeley
  摘要：We study attribute-based regulations, under which regulatory compliance of a firm, product, or individual depends on a secondary attribute that is not the intended target of the regulation. We develop a theoretical model of the welfare consequences of attribute basing, including its distortionary costs and potential benefits. We then quantify these welfare consequences using quasi-experimental evidence from weight-based fuel economy regulations.We use bunching analysis to showthat vehicle weig...