ZA8603: German Time series dataset, 1834-2012


Bibliographic Citation

Citation Citation
Rahlf, Thomas (2015): German Time series dataset, 1834-2012. GESIS Data Archive, Cologne. ZA8603 Data file Version 1.0.0, doi:10.4232/1.12202
Study No.ZA8603
TitleGerman Time series dataset, 1834-2012
Current Version1.0.0, 2015-4-1, doi:10.4232/1.12202
Date of Collection
Principal Investigator/
Authoring Entity,
Institution
  • Rahlf, Thomas - Deutsche Forschungsgemeinschaft
Categories Categories
  • Historical Studies Data
Topics Topics
  • 4 History
Study No.8603
TitleGerman Time series dataset, 1834-2012
Other Titles

    Current Version1.0.0, 01.04.2015, 10.4232/1.12202
    Date of Collection
    Principal Investigator/ Authoring Entity, Institution
    • Rahlf, Thomas - Deutsche Forschungsgemeinschaft

    Abstract
    Categories
    • Historical Studies Data

    Topics
    • 4 History


    Content


    Data & Documents

    DatasetNumber of Units: 180
    Number of Variables: 1073
    Data Type: Excel
    Analysis System(s): Excel
    Availability Explanation0 - Data and documents are released for everybody.
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    Online access to data and documentation via HISTAT:
    Zeitreihendatensatz für Deutschland, 1834-2012
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    Errata & Versions

    Errata in current versionnone
    Version List
    Version 1.0.0
    (current version)
    2015-4-1 doi:10.4232/1.12202

    Further Remarks

    Links
    Notes

    Publications

    Publications
    • Rahlf, Thomas, Voraussetzungen für eine Historische Statistik von Deutschland (19./20. Jh.), in: Vierteljahrschrift für Sozial- und Wirtschaftsgeschichte 101/3 (2014), S. 322-352.
    • Rahlf, Thomas (Hg.), Deutschland in Daten. Zeitreihen zur Historischen Statistik, Bonn: Bundeszentrale für Politische Bildung, 2015.
    • Rahlf, Thomas, The German Time Series Dataset 1834-2012, in: Jahrbücher für Nationalökonomie und Statistik / Journal of Economics and Statistics 236/1 (2016)
    • Rahlf, Thomas, (Hg.), Dokumentation zum Zeitreihendatensatz für Deutschland, 1834-2012 (= HSR-Trans 25), Köln: GESIS 2015. DOI:10.12759/hsr.trans.26.v01.2015
    Relevant full texts
    from SSOAR (automatically assigned)