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Title: Instrumental Variables in the Long Run

Author(s): Gregory Casey and Marc Klemp

Publication Date: June 2018

Keyword(s): Instrumental Variable Regression and Long-Run Economic Growth

Programme Area(s): Development Economics, Economic History and Macroeconomics and Growth

Abstract: We study the interpretation of instrumental variable (IV) regressions that use historical or geographical instruments for contemporary endogenous regressors. We find that conventional IV regressions generally cannot estimate the long-run causal effect of an endogenous explanatory variable when there is a time gap between the instrument and the endogenous variable. We develop a model that can overcome this problem and apply our results to important topics in the field of economic growth, including the effect of institutions on economic growth. We find effects that are smaller than those estimated in the existing literature, demonstrating the quantitative importance of our study.

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Bibliographic Reference

Casey, G and Klemp, M. 2018. 'Instrumental Variables in the Long Run'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=12980