We provide evidence that the robust association between cognitive skills and economic growth reflects a causal effect of cognitive skills and supports the economic benefits of effective school policy. We develop a new common metric that allows tracking student achievement across countries, over...

A lot, including a few things you may not expect. Previous studies find that the term spread forecasts GDP but these regressions are unconstrained and do not model regressor endogeneity. We build a dynamic model for GDP growth and yields that completely characterizes expectations of GDP. The...

We estimate the respective contributions of institutions, geography, and trade in determining income levels around the world, using recently developed instruments for institutions and trade. Our results indicate that the quality of institutions trumps' everything else. Once institutions are...

What is the effect of trade on a country's environment, for a given level of GDP? Some have observed an apparent positive correlation between openness to trade and measures of environmental quality. But this could be due to endogeneity of trade, rather than causality. This paper uses exogenous...

Most of the future growth in energy use is forecast to come from the developing world. Understanding the likely pace and specific location of this growth is essential to inform decisions about energy infrastructure investments and to improve greenhouse gas emissions forecasts. We argue that...

This paper uses a difference-in-difference framework to estimate the effects of mobile money transfer technology (MMT) on healthcare usage in the face of negative health shocks. We use survey data from 2013-16 with quarterly observations on about 1,600 households of 10 villages in the Kisumu...

This paper examines a cost-reducing innovation to the delivery of "Self-Help Group" microfinance services. These groups typically rely on outside agents to found and administer the groups although funds are raised by the group members. The innovation is to have the agents earn their payment by...

The study of autocracies and weakly institutionalized countries is plagued by scarcity of information about the relative strength of different players within the political system. This paper presents novel data on the composition of government coalitions in a sample of fifteen post-colonial...

The major contributions of twentieth century econometrics to knowledge were the definition of causal parameters when agents are constrained by resources and markets and causes are interrelated, the analysis of what is required to recover causal parameters from data (the identification problem),...

The view that empirical strategies in economics should be transparent and credible now goes almost without saying. The local average treatment effects (LATE) framework for causal inference helped make this so. The LATE theorem tells us for whom particular instrumental variables (IV) and...