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The Human Capital Stock: A Generalized Approach Comment

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  • Francesco Caselli

    (Centre for Macroeconomics (CFM)
    Centre For Economic Policy Research
    London School of Economics and Political Science (LSE))

  • Antonio Ciccone

    (Barcelona Graduate School of Economics
    Centre For Economic Policy Research
    Mannheim University
    Universitat Pompeu Fabra)

Abstract

Benjamin Jones (2014) revisits the measurement of human capital for the purposes of development accounting. “Traditional” (Jones’s terminology) accounting treats workers with different educational attainment as perfect substitutes. Jones considers development accounting when workers with different schooling are imperfect substitutes. His main result is that the perfect-substitute case provides a lower bound for the magnitude of human-capital differences across countries, and that, using plausible values for the elasticity of substitution between workers with different educational attainment, measured human capital variation can be boosted to the point that factors of production account for the totality of the variation in income across countries. This finding is in sharp contrast with the previous development accounting literature, which could only explain about half of the cross-country income variation with production factors, with the other half left to generic efficiency (technology) differences (Klenow and Rodriguez-Clare, 1997; Hall and Jones, 1999; Caselli, 2005). If differences in human capital could truly account for all the variation in income across countries, as Jones's calculations indicate, the implications would be far reaching. The academic and policy debate would have to shift away from its current focus on technology, legal and political institutions, and other features of the economic environment. Instead, the focus should be on the determinants of the skills embedded in workers. In this comment, we show that the amplification of cross-country human capital differences achieved by Jones, and hence his success at removing the unexplained component of income differences, is entirely due to an assumption that the relative wage of skilled workers is solely determined by attributes of workers (once the supply of skilled workers is accounted for). If, as we argue, skill premia are also influenced by technology, institutions, and other features of the economic environment, cross-country differences in human capital as measured by Jones will embed differences in these technological, institutional, and other attributes. As a result, Jones’s conclusion that human capital can account for all the variation in income across countries is unwarranted.

Suggested Citation

  • Francesco Caselli & Antonio Ciccone, 2017. "The Human Capital Stock: A Generalized Approach Comment," Discussion Papers 1733, Centre for Macroeconomics (CFM).
  • Handle: RePEc:cfm:wpaper:1733
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    References listed on IDEAS

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    2. Rainer Kotschy & Uwe Sunde & Tommaso MonacelliManaging Editor, 2018. "Can education compensate the effect of population ageing on macroeconomic performance?," Economic Policy, CEPR;CES;MSH, vol. 33(96), pages 587-634.
    3. Jan Trenczek & Konstantin M. Wacker, 2023. "Accounting for cross-country output differences: A sectoral CES perspective," Working Papers 2023.09, International Network for Economic Research - INFER.
    4. Alexander Monge-Naranjo & Juan M. Sanchez & Raul Santaeulalia-Llopis & Faisal Sohail, 2019. "Should Capital Flow from Rich to Poor Countries?," Review, Federal Reserve Bank of St. Louis, vol. 101(4), pages 277-295.
    5. Katharine G. Abraham & Justine Mallatt, 2022. "Measuring Human Capital," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 103-130, Summer.
    6. Campbell, Susanna G. & Üngör, Murat, 2020. "Revisiting human capital and aggregate income differences," Economic Modelling, Elsevier, vol. 91(C), pages 43-64.
    7. Werner Pena & Christian Siegel, 2023. "Routine-biased technical change, structure of employment, and cross-country income differences," Studies in Economics 2301, School of Economics, University of Kent.
    8. Jean Mercenier & Ebru Voyvoda, 2021. "On barriers to technology adoption, appropriate technology and European integration," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(3), pages 669-702, August.
    9. Carl-Johan Dalgaard & Jakob B. Madsen & Holger Strulik, 2021. "Physiological constraints and the transition to growth: implications for comparative development," Journal of Economic Growth, Springer, vol. 26(3), pages 241-289, September.
    10. Sangmin Aum & Dongya Koh & Raül Santaeulàlia-Llopis, 2018. "Growth Facts with Intellectual Property Products: An Exploration of 31 OECD New National Accounts," Working Papers 1029, Barcelona School of Economics.
    11. Yashiv, Eran, 2020. "Moving from a Poor Economy to a Rich One: The Contradictory Roles of Technology and Job Tasks," IZA Discussion Papers 13131, Institute of Labor Economics (IZA).
    12. Eran Yashiv, 2020. "Moving from a Poor Economy to a Rich One: The Contradictory Roles of Technology and Job Tasks," Discussion Papers 2010, Centre for Macroeconomics (CFM).
    13. Jerzmanowski, Michal & Tamura, Robert, 2020. "Aggregate Elasticity of Substitution between Skills: Estimates from a Macroeconomic Approach," MPRA Paper 100768, University Library of Munich, Germany.
    14. Bilqees Ghani & Muhammad Zada & Khalid Rasheed Memon & Rezwan Ullah & Afraseyab Khattak & Heesup Han & Antonio Ariza-Montes & Luis Araya-Castillo, 2022. "Challenges and Strategies for Employee Retention in the Hospitality Industry: A Review," Sustainability, MDPI, vol. 14(5), pages 1-26, March.
    15. Ma, Xiao & Nakab, Alejandro & Zhang, Yiran, 2023. "Skill Acquisition and the Gains from Trade: A Cross-country Quantitative Analysis," MPRA Paper 117808, University Library of Munich, Germany.
    16. Mark Bils & Barış Kaymak & Kai-Jie Wu, 2022. "Labor Substitutability among Schooling Groups," Working Papers 22-07, Federal Reserve Bank of Cleveland.

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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