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The first 50 contriutions to the Data Observer Series - An Overview

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  • Joachim Wagner

Abstract

Starting in issue 1 of volume 236 (2016), the Jahrbücher für Nationalökonomie und Statistik / Journal of Economics and Statistics publish a special section entitled Data Observer. Contributions to this series describe data that can be used in empirical research in economics, and in the social sciences in general. While most of these data sets are micro data at the level of individuals, households, or firms (including linked employer-employee data sets), cross section and time series data at an aggregate level are covered as well. The purpose of the contributions to this section is to describe the information that is available in the data sets, to give examples of topics investigated with the data, and to inform readers how to access these data for their own research. The contributions are written by experts who often were in charge of collecting or building the data sets. Furthermore, papers in the series portray the research data centers and data service centers of data producing institutions that allow academic researchers to work with (mostly confidential) micro data for individuals and firms.

Suggested Citation

  • Joachim Wagner, 2022. "The first 50 contriutions to the Data Observer Series - An Overview," RatSWD Working Papers 279, German Data Forum (RatSWD).
    • Handle: RePEc:rsw:rswwps:rswwps279
    DOI: https://doi.org/10.17620/02671.79
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    17. Watson Nicole & Wooden Mark, 2021. "The Household, Income and Labour Dynamics in Australia (HILDA) Survey," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(1), pages 131-141, February.
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    19. Breidenbach Philipp & Kaeding Matthias & Schaffner Sandra, 2019. "Population Projection for Germany 2015–2050 on Grid Level (RWI-GEO-GRID-POP-Forecast)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 733-745, August.
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    21. Heidorn Helen & Weche John P., 2021. "Business Concentration Data for Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(5-6), pages 801-811, November.
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    25. Eilers Lea & Pilny Adam, 2018. "Data from a Randomized Experiment: Financial Incentives on Weight Loss (RWI-Obesity)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(6), pages 591-600, October.
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    28. Perry Anja & Rammstedt Beatrice, 2016. "The Research Data Center PIAAC at GESIS," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(5), pages 581-593, October.
    29. Leppert Philipp, 2020. "The Micro Data Linking-Panel: A Combined Firm Dataset," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(4), pages 525-535, August.
    30. Antoni Manfred & Bethmann Arne, 2019. "PASS-ADIAB – Linked Survey and Administrative Data for Research on Unemployment and Poverty," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 747-756, August.
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    32. Eilers Lea & Pilny Adam, 2018. "Data from a Randomized Experiment: Financial Incentives on Weight Loss (RWI-Obesity)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(6), pages 591-600, October.
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    Cited by:

    1. Joachim Wagner, 2024. "Data Observer—a guide to data that can help to inform evidence-based policymaking," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 279-287, June.

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