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

Claude Diebolt, Gabriele Franzmann, Ralph Hippe and Jürgen Sensch

Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg

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. Its projects were targeted at describing and analysing 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.

Keywords: Big Data; Cliometrics; Demography; Education; Germany. (search for similar items in EconPapers)
JEL-codes: C81 C82 C83 I2 J11 N33 N34 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-edu, nep-his, nep-ict and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://beta.u-strasbg.fr/WP/2017/2017-10.pdf (application/pdf)

Related works:
Journal Article: The Power of Big Data: Historical Time Series on German Education (2017)
Journal Article: THE POWER OF BIG DATA: HISTORICAL TIME SERIES ON GERMAN EDUCATION (2017)
Working Paper: The Power of Big Data: Historical Time Series on German Education (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ulp:sbbeta:2017-10

Access Statistics for this paper

More papers in Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).