IDEAS home Printed from https://ideas.repec.org/p/afc/wpaper/06-17.html
   My bibliography  Save this paper

The Power of Big Data: Historical Time Series on German Education

Author

Listed:
  • Claude Diebolt

    (BETA, University of Strasbourg Strasbourg, France)

  • Gabriele Franzmann

    (GESIS Leibniz Institute for the Social Sciences, Cologne, Germany)

  • Ralph Hippe

    (European Commission, Joint Research Centre (JRC), Directorate for Growth and Innovation, Human Capital and Employment Unit.)

  • Jürgen Sensch

    (GESIS Leibniz Institute for the Social Sciences, Cologne, Germany)

Abstract

Numerous primary investigators collected and processed long-termed time series on German educational statistics in the context of their studies. As a result, there are a multitude of quantitative empirical studies. On the one hand, there is the project group on German Educational Statistics. 1 Its projects were targeted at describing and analyzing the long-term structural changes of the German educational system on a broad empirical and statistical basis. On the other hand, there are comprehensive data compilations of individual research projects, focusing on a wide variety of special educational research topics. The online database “histat” provides central digital access to these datasets on German educational history. Currently, it offers more than 120,000 long-term time series on the German educational system for a period of 200 years. The striking size of the database shows its key importance for researchers in the field of education. Thus, this paper aims to provide useful insights into the background of the database, the special characteristics of the data compilations and their analytical potential. Additionally, examples are given of how the data have already been used by researchers.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Claude Diebolt & Gabriele Franzmann & Ralph Hippe & Jürgen Sensch, 2017. "The Power of Big Data: Historical Time Series on German Education," Working Papers 06-17, Association Française de Cliométrie (AFC).
    • Handle: RePEc:afc:wpaper:06-17
    as

    Download full text from publisher

    File URL: http://www.cliometrie.org/images/wp/AFC_WP_06_2017.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Claude Diebolt & Bachir El Murr, 2004. "A cobweb model of higher education and labour market dynamics," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(3-4), pages 409-430.
    2. Sascha O. Becker & Francesco Cinnirella & Erik Hornung & Ludger Woessmann, 2014. "iPEHD--The ifo Prussian Economic History Database," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 47(2), pages 57-66, June.
    3. Gabriele FRANZMANN, 2015. "The online database Histat as an Example for Research-Promoting Infrastructures for Studies in Quantitative Historical Research," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 50, pages 821-856, Juin.
    4. Sascha O. Becker & Francesco Cinnirella & Ludger Woessmann, 2013. "Does women's education affect fertility? Evidence from pre-demographic transition Prussia," European Review of Economic History, European Historical Economics Society, vol. 17(1), pages 24-44, February.
    5. Sascha O. Becker & Erik Hornung & Ludger Woessmann, 2011. "Education and Catch-Up in the Industrial Revolution," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 92-126, July.
    6. Claude Diebolt & Bachir El Murr, 2004. "Educational Development and Labour Markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(2), pages 127-145, April.
    7. Sascha Becker & Francesco Cinnirella & Ludger Woessmann, 2010. "The trade-off between fertility and education: evidence from before the demographic transition," Journal of Economic Growth, Springer, vol. 15(3), pages 177-204, September.
    8. Claude Diebolt & Michael Haupert, 2018. "Cliometrics," Working Papers of BETA 2018-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Joerg Baten & Ralph Hippe, 2018. "Geography, land inequality and regional numeracy in Europe in historical perspective," Journal of Economic Growth, Springer, vol. 23(1), pages 79-109, March.
    10. Thierry Aimar & Francis Bismans & Claude Diebolt, 2012. "Economic Cycles: A Synthesis," Working Papers 12-11, Association Française de Cliométrie (AFC).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Youssouf Merouani & Faustine Perrin, 2022. "Gender and the long-run development process. A survey of the literature [Rethinking age heaping: A cautionary tale from nineteenth-century Italy]," European Review of Economic History, European Historical Economics Society, vol. 26(4), pages 612-641.
    2. Claude Diebolt & Magali Jaoul-Grammare & Faustine Perrin, 2022. "A Cliometric Reading of the Development of Primary Education in France in the Nineteenth Century," Working Papers 02-22, Association Française de Cliométrie (AFC).
    3. Claude Diebolt, 2020. "L’idée de régulation dans les sciences : hommage à l’épistémologue Jean Piaget," Revue d'économie politique, Dalloz, vol. 130(4), pages 509-517.
    4. Claude Diebolt & Magali Jaoul-Grammare & Faustine Perrin, 2020. "Scolarisation de masse des garçons et des filles. Financement public de l’instruction primaire et croissance économique en France au XIXème siècle," Working Papers of BETA 2020-51, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cinnirella, Francesco & Hornung, Erik, 2016. "Landownership concentration and the expansion of education," Journal of Development Economics, Elsevier, vol. 121(C), pages 135-152.
    2. Ruth Maria Schüler, 2018. "Education Economics from a Historical Perspective," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 78.
    3. Sascha O. Becker & Francesco Cinnirella & Erik Hornung & Ludger Woessmann, 2014. "iPEHD--The ifo Prussian Economic History Database," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 47(2), pages 57-66, June.
    4. Claude Diebolt & Tapas Mishra & Faustine Perrin, 2015. "Did Gender-Bias Matter in the Quantity- Quality Trade-off in the 19th Century France ?," Working Papers of BETA 2015-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Charlotte Le Chapelain, 2013. "Cliométrie et Capital humain," Working Papers 01-13, Association Française de Cliométrie (AFC).
    6. Francesco Cinnirella & Jochen Streb, 2017. "The role of human capital and innovation in economic development: evidence from post-Malthusian Prussia," Journal of Economic Growth, Springer, vol. 22(2), pages 193-227, June.
    7. Tommy Krieger, 2024. "Elites and health infrastructure improvements in industrializing regimes," Journal of Economic Growth, Springer, vol. 29(3), pages 433-468, September.
    8. Tommy Krieger, 2022. "Elites and Health Infrastructure Improvements in Industrializing Regimes," CESifo Working Paper Series 9808, CESifo.
    9. Bartels, Charlotte & Jäger, Simon & Obergruber, Natalie, 2020. "Long-Term Effects of Equal Sharing: Evidence from Inheritance Rules for Land," IZA Discussion Papers 13665, Institute of Labor Economics (IZA).
    10. Quamrul H. Ashraf & Francesco Cinnirella & Oded Galor & Boris Gershman & Erik Hornung, 2017. "Capital-Skill Complementarity and the Emergence of Labor Emancipation," Working Papers 2017-1, Brown University, Department of Economics.
    11. Alberto Basso & David Cuberes, 2013. "Fertility and Financial Development: Evidence from U.S. Counties in the 19th Century," Working Papers 2013011, The University of Sheffield, Department of Economics.
    12. Nguyen Thang Dao & Julio Dávila & Angela Greulich, 2021. "The education gender gap and the demographic transition in developing countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 431-474, April.
    13. Sascha O. BECKER & Francesco CINNIRELLA, 2020. "Prussia Disaggregated: The Demography of its Universe of Localities in 1871," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 86(3), pages 259-290, September.
    14. Oded, Galor, 2011. "Inequality, Human Capital Formation, and the Process of Development," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 441-493, Elsevier.
    15. Fabian Siuda & Uwe Sunde, 2021. "Disease and demographic development: the legacy of the plague," Journal of Economic Growth, Springer, vol. 26(1), pages 1-30, March.
    16. Francesco Cinnirella & Erik Hornung, 2016. "Land Inequality, Education, and Marriage: Empirical Evidence from Nineteenth-Century Prussia," CESifo Working Paper Series 6072, CESifo.
    17. Claude Diebolt & Roger Fouquet & Ralph Hippe, 2020. "Cliometrics and the Evolution of Human Capital," Post-Print hal-02920429, HAL.
    18. Sascha O. Becker & Francesco Cinnirella & Ludger Woessmann, 2012. "The effect of investment in children’s education on fertility in 1816 Prussia," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(1), pages 29-44, January.
    19. de la Croix, David & Perrin, Faustine, 2018. "How far can economic incentives explain the French fertility and education transition?," European Economic Review, Elsevier, vol. 108(C), pages 221-245.
    20. Casey, Gregory & Klemp, Marc, 2016. "Instrumental Variables in the Long Run," MPRA Paper 68696, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I2 - Health, Education, and Welfare - - Education
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913
    • N34 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: 1913-

    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:afc:wpaper:06-17. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/afcccea.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.