This paper studies the interplay of machine learning and sampling scheme in an empirical analysis of money laundering detection algorithms. Using actual transaction data provided by a U.S. financial institution, we study five major machine learning algorithms including Bayes logistic regression,...

Using monthly transaction data covering all Chinese exporters over the 2000-2006 period, we investigate how Chinese exporters respond to U.S. antidumping investigations. We find that antidumping investigations cause a substantial decrease in the total export volume at the HS-6 digit product...

It is well known that height is positively associated with earnings. Based on individual level data, this paper investigates the channels through which height influences income in China. Our first key finding is that taller people are more likely to become members of the Communist Party,...

This paper uses customs transaction data covering all Chinese exporters and the World Bank's antidumping database to investigate how they responded to Latin-American and Caribbean (LAC) antidumping measures during 2000-2012 period. The paper uses the difference-in-differences identification...

Long-term auto loans have become increasingly popular in the past decade. We find that consumers use these loans to obtain larger auto loans with lower monthly payments. After controlling for the observed risk factors typically available during the underwriting process, auto loans with...

Zhang [Tariff and Equilibrium Indeterminacy, shows that endogenous tariffs (or energy taxes) and endogenous labor income taxes are equivalent in generating local indeterminacy. Using methods developed by Stockman [Journal of Economic Theory 145 (2010), 1060-1085], we extend Zhang's analysis to...