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Varianzschätzung von Nettoveränderungen mit dem Mikrozensus ab 2012
[Variance estimation of net changes with the German Microcensus since 2012]

Author

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  • Bernhard Schimpl-Neimanns

    (GESIS – Leibniz-Institut für Sozialwissenschaften)

Abstract

Zusammenfassung In diesem Aufsatz wird die Varianzschätzung von Nettoveränderungen am Beispiel ausgewählter Indikatoren des Mikrozensus untersucht. Auf der Grundlage von Scientific-Use-Files des Mikrozensus als große replikative Mehrthemenumfrage werden häufig zeitliche Veränderungen von Indikatoren berichtet. Durch die partielle Rotation von Erhebungseinheiten reduziert sich die Varianz von Nettoveränderungen. Dieser methodische Vorteil kann seit der Bereitstellung längsschnittkonsistenter Ordnungsnummern in den Daten ab 2012 genutzt werden. Hierfür wird das von Berger und Priam (2016) vorgeschlagene Verfahren verwendet. Damit ist es nun für die Wissenschaft möglich, die hohe Präzision der Schätzergebnisse von Nettoveränderungen effizient auszuschöpfen.

Suggested Citation

  • Bernhard Schimpl-Neimanns, 2019. "Varianzschätzung von Nettoveränderungen mit dem Mikrozensus ab 2012 [Variance estimation of net changes with the German Microcensus since 2012]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(1), pages 73-85, April.
    • Handle: RePEc:spr:astaws:v:13:y:2019:i:1:d:10.1007_s11943-019-00240-0
    DOI: 10.1007/s11943-019-00240-0
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    References listed on IDEAS

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    1. Y. G. Berger & R. Priam, 2016. "A simple variance estimator of change for rotating repeated surveys: an application to the European Union Statistics on Income and Living Conditions household surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 251-272, January.
    2. Bernhard Schimpl-Neimanns, 2011. "Schätzung des Stichprobenfehlers in Mikrozensus Scientific Use Files ab 2005," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 19-38, March.
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    Cited by:

    1. Markus Zwick, 2019. "Vorwort der Herausgeber," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(1), pages 1-4, April.

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