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Nepotism vs. Intergenerational Transmission of Human Capital in Academia (1088–1800)

Author

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  • de la Croix, David

    (IRES/LIDAM, UCLouvain & CEPR, London)

  • Goñi, Marc

    (Dept. of Economics, Norwegian School of Economics and Business Administration)

Abstract

We argue that the waning of nepotism in academia bolstered scientific production in pre-industrial Europe. We build a database of families of scholars (1088–1800), measure their scientific output, and develop a general method to disentangle nepotism from inherited human capital—two determinants of occupational persistence. This requires jointly addressing measurement error in human capital proxies and sample selection bias arising from nepotism. Our method exploits multi-generation correlations together with parent-child distributional differences to identify the structural parameters of a first-order Markov process of human capital transmission with nepotism. We find an intergenerational human capital elasticity of 0.59, higher than that suggested by parent-child elasticities, yet lower than multi-generation estimates ignoring nepotism. In early academia, 40 percent of scholars’ sons achieved their position because of nepotism. Nepotism was lower in science than in law and in Protestant than in Catholic institutions, and declined substantially during the Scientific Revolution and the Enlightenment—two periods of buoyant scientific advancement.

Suggested Citation

  • de la Croix, David & Goñi, Marc, 2021. "Nepotism vs. Intergenerational Transmission of Human Capital in Academia (1088–1800)," Discussion Paper Series in Economics 9/2021, Norwegian School of Economics, Department of Economics.
  • Handle: RePEc:hhs:nhheco:2021_009
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    File URL: https://hdl.handle.net/11250/2734312
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    More about this item

    Keywords

    Intergenerational mobility; human capital transmission; nepotism; upper-tail human capital; pre-industrial Europe; simulated method of moments;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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