Judging Factor Abundance

Working Paper: NBER ID: w3059

Authors: Harry P. Bowen; Leo Sveikauskas

Abstract: Recent theoretical developments have cast doubt on the reliability of the commonly used cross-industry regression as a method for inferring a country's abundant factors. This paper examines the empirical importance of these theoretical cautions by comparing regression derived estimates of factor abundance with both revealed and actual factor abundances for thirty-five countries and up to twelve resources. Trade imbalances are found to importantly affect the regression estimates and we therefore derive and implement a theoretically consistent trade balance correction. The results indicate that despite theoretical concerns, the regression measures are often reliable indicators of revealed factor abundances. The results therefore enhance the credibility of the findings of the numerous regression studies that have been conducted over the past thirty years.

Keywords: factor abundance; trade imbalances; regression analysis

JEL Codes: No JEL codes provided


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
trade imbalances (F14)regression estimates of factor abundance (C29)

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