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Applying panel vector autoregression to institutions, human capital, and output

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  • Ryan H. Murphy

    (Southern Methodist University)

  • Colin O’Reilly

    (Creighton University)

Abstract

We bridge two areas of study by applying panel vector autoregression (PVAR) to human capital, political institutions, economic institutions, and economic output per capita. Institutions and human capital have competed within the scholarly literature as hypotheses explaining the origins of economic growth. Elsewhere, our measure of economic institutions, the Economic Freedom of the World index, has recently been explored extensively as a dependent variable, whereas previously it had been used as an explanatory variable. We wish to measure the interrelationships between political and economic institutions, as well as their interrelationships with economic output and human capital, in contrast to the literature which emphasizes the importance of political institutions alone. We explore these interrelationships in a PVAR model, finding that, descriptively at least, higher-quality economic institutions are associated with more output. We also find weak evidence that higher-quality political institutions are associated with less output and less education. We also find a robust positive effect of education on the quality of economic institutions. In performing this analysis, we contribute to the literature on the institutions and human capital debate, as well as to the literature on the causes of free economic institutions.

Suggested Citation

  • Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
  • Handle: RePEc:spr:empeco:v:57:y:2019:i:5:d:10.1007_s00181-018-1562-0
    DOI: 10.1007/s00181-018-1562-0
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    Cited by:

    1. Gouider, Abdessalem & Nouira, Ridha & Saafi, Sami, 2022. "Re-Exploring the Nexus Between Economic Freedom and Growth: Is There a Threshold Effect?," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(3), pages 147-167, September.
    2. Mbondo, Georges Dieudonné & Bouwawe, Duclo, 2023. "Transformation digitale et transformation structurelle dans les économies d’Afrique Sub-Saharienne (ASS) : les effets variés des technologies de l’information et de la communication (TIC) [Digital ," MPRA Paper 117541, University Library of Munich, Germany.
    3. Alimov, Behzod, 2022. "The dynamic effects of debt and equity inflows: Evidence from emerging and developing countries," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    4. Alessandro Melcarne & Juan S. Mora-Sanguinetti & Rok Spruk, 2021. "Democracy, technocracy and economic growth: evidence from 20 century Spain," Working Papers 2118, Banco de España.
    5. Ryan H. Murphy, 2021. "Plausibly exogenous causes of economic freedom," Journal of Bioeconomics, Springer, vol. 23(1), pages 85-105, April.
    6. Colin O'Reilly, 2021. "Violent conflict and institutional change," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(2), pages 257-317, April.

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    More about this item

    Keywords

    Economic growth; Political institutions; Economic institutions; Human capital;
    All these keywords.

    JEL classification:

    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • P51 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems

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