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Instrumental Variables in the Long Run

Author

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  • Klemp, Marc
  • Casey, Gregory
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.

Suggested Citation

  • Klemp, Marc & Casey, Gregory, 2018. "Instrumental Variables in the Long Run," CEPR Discussion Papers 12980, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:12980
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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.
    2. P. Dorian Owen, 2017. "Evaluating Ingenious Instruments for Fundamental Determinants of Long-Run Economic Growth and Development," Econometrics, MDPI, vol. 5(3), pages 1-33, September.
    3. Gregory J. Wawro & Ira Katznelson, 2020. "American political development and new challenges of causal inference," Public Choice, Springer, vol. 185(3), pages 299-314, December.
    4. Latif Apaassongo Ibrahim & Aidoo Robert & Osei Mensah James, 2024. "City governance, urban livelihoods, and food security: insights from street food trade in Kumasi, Ghana," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(5), pages 1081-1098, October.
    5. Beatriz Barrado & Gregorio Gimenez & Jaime Sanaú, 2021. "The Use of Decomposition Methods to Understand the Economic Growth Gap between Latin America and East Asia," Sustainability, MDPI, vol. 13(12), pages 1-18, June.

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    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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