Empirical Productivity Distributions and International Trade

Working Paper: CEPR ID: DP15160

Authors: Peter Egger; Sergey Nigai

Abstract: This paper reassesses the question of the importance of comparative advantage in a model of international trade with heterogeneous firms where productivity is distributed nonparametrically. This assessment rests on a method of isolating empirical productivity distributions for 15 countries and 17 sectors using a combination of firm-level and macroeconomic data together with the structure of the model. In this setting, the effects of technology on trade are substantial and cannot be captured by a small set of technology parameters. On average, comparative advantage accounts for 23% of the observed variation in trade or 70\% in the absence of selection effects.

Keywords: empirical productivity distributions; comparative advantage; quantitative trade; selection effects

JEL Codes: F1; F10; F12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
comparative advantage (F11)trade shares (G10)
technology (O39)trade shares (G10)
productivity differences (O49)trade patterns (F10)
technology (O39)relative autarky price differences (F16)

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