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The Power Of Big Data: Historical Time Series On German Education

Author

Listed:
  • Diebolt, Claude
  • Franzmann, Gabriele
  • Hippe, Ralph
  • Sensch, Jürgen

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.

Suggested Citation

  • Diebolt, Claude & Franzmann, Gabriele & Hippe, Ralph & Sensch, Jürgen, 2017. "The Power Of Big Data: Historical Time Series On German Education," Journal of Demographic Economics, Cambridge University Press, vol. 83(3), pages 329-376, September.
    • Handle: RePEc:cup:demeco:v:83:y:2017:i:3:p:329-376_3
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    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, 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.
    3. 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).
    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.

    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-

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