In this paper we derive a new measure of openness--trade potential index--that quantifies potential gains from trade as a simple function of data. Using a standard multicountry trade model, we measure openness by a country's potential welfare gain from moving to a world with frictionless trade....

We argue that the welfare gains from trade in new models with micro-level margins exceed those in frameworks without these margins. Theoretically, we show that for fixed trade elasticity, different models predict identical trade flows, but different patterns of micro-level price variation. Thus,...

Quantitative results from a large class of structural gravity models of international trade depend critically on the elasticity of trade with respect to trade frictions. We develop a new simulated method of moments estimator to estimate this elasticity from disaggregate price and trade-flow data...

Information frictions are often invoked to explain low levels of international trade beyond those that measured trade frictions (tariffs, transportation costs, etc.) can explain. But to explain why international trade is lower then domestic trade, home firms have to know something that...

In this paper we derive a new measure of openness—trade potential index—that quantifies the potential gains from trade as a simple function of data. Using a standard multicountry trade model, we measure openness by a country’s potential welfare gain from moving to a world...

Cross-country labor productivity differences are larger in agriculture than in non-agriculture. We propose a new explanation for these patterns in which the self-selection of heterogeneous workers determines sector productivity. We formalize our theory in a general equilibrium Roy model with...

Quantitative results from a large class of international trade models depend critically on the elasticity of trade with respect to trade frictions. We develop a simulated method of moments estimator to estimate this elasticity from disaggregate price and trade-flow data using the Ricardian...