IDEAS home Printed from https://ideas.repec.org/p/usi/wpaper/873.html
   My bibliography  Save this paper

Human capital in Europe, 1830s – 1930s: towards a new spatial dataset

Author

Listed:
  • Gabriele Cappelli
  • Leonardo Ridolfi
  • Michelangelo Vasta
  • Johannes Westberg

Abstract

The literature on the causes of economic growth has emphasized the major role played by human capital accumulation. This survey shows that education and human capital are at the centre stage of the historical literature on industrialization and long-term economic development. Our contribution is threefold: first, we review the literature on the determinants of educational levels focusing on Europe in the period 1830 – 1930. We find that the lack of fine-grain spatial and (at the same time) harmonized data is preventing research on some important aspects of rising education. Secondly, we provide a preliminary taxonomy of European school acts and reforms in the 19th and early-20th century. Finally, we present the first version of a dataset under construction, which aims at providing spatial data covering gross enrolment rates and literacy across European regions from c. 1830 to 1930. Our preliminary results show that, in c. 1850, educational clusters appear to have often crossed national borders. By contrast, the effect of national institutions and regulations seems to have become an important determinant of schooling (and literacy) rates on the eve of the 20th century.

Suggested Citation

  • Gabriele Cappelli & Leonardo Ridolfi & Michelangelo Vasta & Johannes Westberg, 2022. "Human capital in Europe, 1830s – 1930s: towards a new spatial dataset," Department of Economics University of Siena 873, Department of Economics, University of Siena.
  • Handle: RePEc:usi:wpaper:873
    as

    Download full text from publisher

    File URL: http://repec.deps.unisi.it/quaderni/873.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Education; literacy; Europe; regional; comparative.;
    All these keywords.

    JEL classification:

    • N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:usi:wpaper:873. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Fabrizio Becatti (email available below). General contact details of provider: https://edirc.repec.org/data/desieit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.