Economics journals with reproducibility policies are cited more often than others. For the minority of journals with a mandatory and enforced policy, this is significant when controlling for time and journal effects. To cope with the large variety of software used and to develop standards for replicability, joint efforts of journals could ensure each empirical study is published with data, code, and instructions on how to use them together. Individual reviewers could take initiative by asking for replicable empirical results. The American Journal of Political Science sets an example by having all empirical studies externally check for replicability prior to publication.
We provide a real-life application of a large scale affirmative action policy in school choice in the context of engineering school admissions in India where students not only care about what program they are matched to but also what type of seat category they are admitted under. We explain the market and the mechanism currently in use. Two significant shortcomings of the current mechanism are explained. The affirmative action policy in use leaves many seats vacant even though there are students who would take these seats. We provide the insight of a potential matching-theoretical solution to these problems.
We assess the rate of replication for empirical papers in the 2010 American Economic Review. Across 70 empirical papers, we find that 29 percent have 1 or more citation that partially replicates the original result. While only a minority of papers has a published replication, a majority (60 percent) have either a replication, robustness test, or an extension. Surveying authors within the literature, we find substantial uncertainty over the number of extant replications.
China's gradualistic approach allowed the government to learn how the economy reacts to small policy changes, and to adjust its reforms before implementing them in full. With fully developed financial markets, however, private actors may front-run future policy changes, making it impossible to implement policies gradually. With financial markets, the government faces a time-inconsistency problem. The government would like to commit to a gradualistic approach, but after it observes the economy's quick reaction, it has no incentive to implement its policies in small steps.
This paper replicates results that some people, when allocating income, are “groupy” and discriminate between in and out groups, but many show no such bias. The paper explores psychometric, demographic, and political correlates. In an M-Turk experiment, no “Big Five” personality trait relates to this individual difference. Gender, education, and political party are not predictive. Political independents, however, are more likely to be non-groupy, and participants in deindustrialized counties or Deep South Republicans are more likely to be groupy. The results indicate (i) psychological notions of personality do not capture this heterogeneity and (ii) groupiness might relate to political and social contestation.
There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number of covariates. More recently attention has focused on settings with a large number of covariates. In this paper we extend lessons from the earlier literature to this new setting. We propose that in addition to reporting point estimates and standard errors, researchers report results from a number of supplementary analyses to assist in assessing the credibility of their estimates.
We attempted to replicate 67 macroeconomic papers using author-provided data and code files by following a preanalysis plan. Excluding 6 papers that used confidential data, we obtained data and code replication files for 29 of 35 papers (83 percent) that were required to provide such files as a condition of publication, compared to 11 of 26 papers (42 percent) that were not required to provide such files. Also excluding the 2 papers that used software we did not possess, we replicated 29 of 59 papers (49 percent) with assistance from the authors. We conclude with recommendations on improving replication of economics research.
I review the role of a new behavioral trait, competitiveness, on the gender agenda. I first describe how to measure competitiveness in the laboratory and show that gender differences in competitiveness are robust. I then establish the external economic relevance of the experimental measure of competitiveness: competitiveness correlates with education and labor market outcomes and can help account for gender differences therein. Finally, institutions can differ in the importance they place on competitiveness and hence can affect gender differences in economic outcomes. Exploring these institutional differences and their effects remains an open area of behavioral market design.
Between 1990 and 2015, Indonesia lost nearly 25 percent of its forests, largely due to intentional burning to clear land for cultivation of palm oil and timber plantations.1 The neighboring "victim countries" experienced severe deteriorations in air quality as a result of these fires. For example, Singapore experienced record air pollution levels in June of 2013 and again in September of 2015 as a result of the Indonesian forest fires.2 This air pollution is associated with increased incidences of upper respiratory tract infections, acute conjunctivitis, lung disease, asthma, bronchitis, emphysema, and pneumonia, among other ailments.2 Quantifying the impact of air pollution on health outcomes is challenging because pollution levels are often nonrandom for a variety of reasons, including policy endogeneity and sorting (Dominici, Greenstone, and Sunstein 2014). In this paper we offer the first causal analysis of the transboundary health effects of the Indonesian forest burning. The Indonesian fires induce exogenous variation in Singaporean air quality. We take advantage of this by using satellite fire data to instrument for changes in Singaporean air quality. Since Singapore is only 277.6 square miles in area (two-thirds the size of New York City), air pollution resulting from the fires is homogeneously spread so that sorting is less likely to be an issue. Using a two-stage least squares approach, we find that from 2010 through mid-2016, the Indonesian fires caused a statistically significant increase in pollution levels in Singapore. Our study also provides evidence that polyclinic attendances for acute respiratory tract infections and acute conjunctivitis in Singapore increased as a result of the deterioration in air quality. The reduced form estimates show that a one standard deviation increase in our measure of fires causes a 0.7 standard deviation increase in polyclinic attendances for each of these illnesses. These findings provide causal evidence of the transboundary pollution and health impacts of the Indonesian forest burning on neighboring Singapore.
We use new and comprehensive data on the security holdings of euro-area investors to document facts about the ongoing quantitative easing program. The holdings of purchase-eligible government bonds have strong home bias not only for banks but also for insurance companies, pension funds, and mutual funds, especially in the vulnerable countries. In response to the program, foreign investors sold most of the purchase-eligible government bonds. Banks also sold purchase-eligible government bonds to a lesser extent, but insurance companies and pension funds bought them. Thus, quantitative easing may have reduced the duration mismatch for these institutions.