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Instrumental Variables in the Long Run

Author

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  • Gregory Casey

    (Department of Economics, Brown University)

  • Marc Klemp

    (Department of Economics, University of Copenhagen)

Abstract

In the study of long-run economic growth, it is common to use historical or geographical variables as instruments for contemporary endogenous regressors. We study the interpretation of these conventional instrumental variable (IV) regressions in a general, yet simple, framework. Our aim is to estimate the long-run causal effect of changes in the endogenous explanatory variable. We find that conventional IV regressions generally cannot recover this parameter of interest. To estimate this parameter, therefore, we develop an augmented IV estimator that combines the conventional regression with a separate regression estimating the degree of persistence in the endogenous regressor. Importantly, our estimator can overcome a particular violation of the exclusion restriction that can arise when there is a time gap between the instrument and the endogenous explanatory variable. We apply our results to estimate the long-run effect of institutions on economic performance and the long-run effect of Protestantism on human capital accumulation. In both cases, we find economically significant long-run effects that are smaller than those in the existing literature, demonstrating that our results have important quantitative implications for the field of long-run economic growth. We also use our framework to examine related empirical techniques. We find that two prominent regression methodologies - using gravity-based instruments for trade and including ancestry-adjusted variables in linear regression models - have related issues of interpretation. In the latter case, this problem can be overcome by including both unadjusted and adjusted measures in the regression model.

Suggested Citation

  • Gregory Casey & Marc Klemp, 2017. "Instrumental Variables in the Long Run," Discussion Papers 17-16, University of Copenhagen. Department of Economics.
  • Handle: RePEc:kud:kuiedp:1716
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    References listed on IDEAS

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    Cited by:

    1. Alan Fernihough, 2017. "Human capital and the quantity–quality trade-off during the demographic transition," Journal of Economic Growth, Springer, vol. 22(1), pages 35-65, March.

    More about this item

    Keywords

    Long-Run Economic Growth; Instrumental Variable Regression;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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