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The German Microcensus as a Tool for Longitudinal Data Analysis: An Evaluation Using SOEP Data

Author

Listed:
  • Edin Basic
  • Ivo Marek
  • Ulrich Rendtel

Abstract

The German Microcensus is a rotating panel, where the units stay in the survey for four observations. Because of the very large sample size and the mandatory participation it appears to be a valuable data base for short duration analysis. However, the German Microcensus (MC) uses area sampling where participants are not followed if they leave the area. Consequently there is no information on participants after they move. We investigate how the use of the German Socio-Economic Panel (SOEP) can help to measure the non-coverage bias of the MC. Our methodology is evaluated for labour force flows. The results indicate that the SOEP is a valuable instrument for assessing the non-coverage bias in the MC. For labour force flows the non-coverage bias of the MC appears to be only of moderate size.

Suggested Citation

  • Edin Basic & Ivo Marek & Ulrich Rendtel, 2005. "The German Microcensus as a Tool for Longitudinal Data Analysis: An Evaluation Using SOEP Data," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 125(1), pages 167-181.
    • Handle: RePEc:aeq:aeqsjb:v125_y2005_i1_q1_p167-181
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    Citations

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    Cited by:

    1. Rendtel, Ulrich & Basic, Edin, 2007. "Assessing the bias due to non-coverage of residential movers in the German microcensus panel: an evaluation using data from the socio-economic panel," Discussion Papers 2007/6, Free University Berlin, School of Business & Economics.
    2. Ulrich Kaiser & Joachim Wagner, 2008. "Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen‐ und Firmendaten," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 329-349, August.
    3. repec:iab:iabfme:200702(de is not listed on IDEAS

    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
    • J69 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Other

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