While hypothesis testing is a highly formalized activity, hypothesis generation remains largely informal. We propose a systematic procedure to generate novel hypotheses about human behavior, which uses the capacity of machine learning algorithms to notice patterns people might not. We illustrate...

This article describes methods used in the field of spatial economics that combine insights from economic theory and evidence from data in order to answer counter- factual questions. I outline a general framework that emphasizes three elements: a specific question to be answered, a set of...

In this paper, we provide a suite of tools for empirical market design, including optimal nonlinear pricing in intensive-margin consumer demand, as well as a broad class of related adverse-selection models. Despite significant data limitations, we are able to derive informative bounds on demand...

This paper develops a computable spatial equilibrium model of Central Asia and uses it to analyze the possible effects of the Belt Road Initiative on the economy of the region. The model captures international and subnational economic units and their connectivity to each other and the rest of...

Efforts to estimate the effects of international trade on a country's real income have been hampered by the failure to account for the endogeneity of trade. Frankel and Romer recently use a country's geographic attributes - notably its distance from potential trading partners - as an instrument...

We develop a spatial equilibrium model to evaluate the efficiency and distributional impacts of the leading air quality regulation in the United States: the National Ambient Air Quality Standards (NAAQS). We link our economic model to an integrated assessment model for air pollutants which...