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),...

Do shocks to government spending raise or lower consumption and real wages? Standard VAR identification approaches show a rise in these variables, whereas the Ramey-Shapiro narrative identification approach finds a fall. I show that a key difference in the approaches is the timing. Both...

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...

The remarkable decline in macroeconomic volatility experienced by the U.S. economy since the mid-80s (the so-called Great Moderation) has been accompanied by large changes in the patterns of comovements among output, hours and labor productivity. Those changes are reflected in both conditional...

We develop a state-space model with a state-transition equation that takes the form of a functional vector autoregression and stacks macroeconomic aggregates and a cross-sectional density. The measurement equation captures the error in estimating log densities from repeated cross-sectional...