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Human Capital and National Institutional Quality: Are TIMSS, PISA, and National Average IQ Robust Predictors?

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  • Garett Jones
  • Niklas Potrafke

Abstract

Is human capital a robust predictor of good institutions? Using a new institutional quality measure, the International Property Rights Index (IPRI), we find that cognitive skill measures are significant, robust, and large in magnitude. We use two databases of cognitive skills: estimates of national average IQ from Lynn and Vanhanen (2012a) and estimates of cognitive ability based on Programme for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS) scores estimated by Rindermann et al. (2009). The Rindermann cognitive ability scores estimate mean performance as well as performance at the 5th and 95th percentiles of the national population. National average IQ and the 95th percentile of cognitive ability are both robust predictors of overall institutional quality controlling for legal system, GDP per capita, geography dummies, and years of total schooling. Some possible microfoundations of this relationship are discussed.

Suggested Citation

  • Garett Jones & Niklas Potrafke, 2014. "Human Capital and National Institutional Quality: Are TIMSS, PISA, and National Average IQ Robust Predictors?," CESifo Working Paper Series 4790, CESifo.
    • Handle: RePEc:ces:ceswps:_4790
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    4. Burhan, Nik Ahmad Sufian & Che Razak, Razli & Selamat, Muhamad Rosli & Rosli, Muhamad Ridhwan, 2017. "Intellectual Giftedness for Leadership: How Robust is the Crime Reducing Effect of Intellectual Class?," MPRA Paper 77467, University Library of Munich, Germany.
    5. Kodila-Tedika, Oasis & Rindermann, Heiner & Christainsen, Gregory, 2014. "Cognitive capital, governance, and the wealth of nations," MPRA Paper 57563, University Library of Munich, Germany.
    6. Mindaugas Butkus & Alma Maciulyte-Sniukiene & Kristina Matuzeviciute, 2020. "Heterogeneous growth outcomes of the EU’s regional financial support mediated by institutions with some empirical evidences at NUTS 3 level," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(1), pages 33-66, April.
    7. Elena Sochirca & Francisco José Veiga, 2021. "Key determinants of elite rivalry: theoretical insights and empirical evidence," Applied Economics, Taylor & Francis Journals, vol. 53(2), pages 277-291, January.
    8. Potrafke, Niklas, 2019. "Risk aversion, patience and intelligence: Evidence based on macro data," Economics Letters, Elsevier, vol. 178(C), pages 116-120.
    9. Zullo, Matteo, 2022. "(No) Trade-off between numeracy and verbal reasoning development: PISA evidence from Italy's academic tracking," Intelligence, Elsevier, vol. 95(C).
    10. Burhan, Nik Ahmad Sufian & Kurniawan, Yohan & Sidek, Abdul Halim & Mohamad, Mohd Rosli, 2014. "Crimes and the Bell Curve: The Role of People with High, Average, and Low Intelligence," MPRA Paper 77314, University Library of Munich, Germany.
    11. Becker, David & Coyle, Thomas R. & Minnigh, Tyler L. & Rindermann, Heiner, 2022. "International differences in math and science tilts: The stability, geography, and predictive power of tilt for economic criteria," Intelligence, Elsevier, vol. 92(C).
    12. Bergh, Andreas & Bjørnskov, Christian, 2014. "Trust, welfare states and income equality: Sorting out the causality," European Journal of Political Economy, Elsevier, vol. 35(C), pages 183-199.
    13. Mohammad Reza Farzanegan, 2020. "Cognitive ability and corruption: rule of law (still) matters," Empirical Economics, Springer, vol. 59(4), pages 1723-1743, October.
    14. Elbahnasawy, Nasr G., 2021. "Can e-government limit the scope of the informal economy?," World Development, Elsevier, vol. 139(C).
    15. Mindaugas Butkus & Alma Mačiulytė-Šniukienė & Kristina Matuzevičiūtė, 2020. "Mediating Effects of Cohesion Policy and Institutional Quality on Convergence between EU Regions: An Examination Based on a Conditional Beta-Convergence Model with a 3-Way Multiplicative Term," Sustainability, MDPI, vol. 12(7), pages 1-37, April.

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    More about this item

    Keywords

    institutions; human capital; intelligence; PISA;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • I20 - Health, Education, and Welfare - - Education - - - General

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