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Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik
[Collection of data for rent indexes: Overview and discussion from a statistical perspective]

Author

Listed:
  • Göran Kauermann
  • Michael Windmann

    (Ludwig-Maximilians-Universität München)

  • Ralf Münnich

Abstract

Zusammenfassung Der Artikel diskutiert die verschiedenen Methoden bei der Datenerhebung von Mietspiegeln. Es werden Vor- und Nachteile der in der Praxis zu findenden Methoden diskutiert und aus dem statistischen Blickwinkel beleuchtet. Dabei gehen wir den drei Fragen nach: Wer wird befragt? Wie wird befragt? Wie erfolgt die Stichprobenziehung? Neben statistischen Aspekten werden die Mietspiegel der 30 größten Städte als Beispiel herangezogen, um aufzuzeigen, dass die angewandte Methodik in der Praxis sehr heterogen ist.

Suggested Citation

  • Göran Kauermann & Michael Windmann & Ralf Münnich, 2020. "Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik [Collection of data for rent indexes: Overview and discussion from a statistical perspective]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(2), pages 145-162, July.
    • Handle: RePEc:spr:astaws:v:14:y:2020:i:2:d:10.1007_s11943-020-00272-x
    DOI: 10.1007/s11943-020-00272-x
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    References listed on IDEAS

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    1. Florian Meinfelder, 2014. "Multiple Imputation: an attempt to retell the evolutionary process," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(4), pages 249-267, November.
    2. Mary E. Thompson, 2019. "Combining Data from New and Traditional Sources in Population Surveys," International Statistical Review, International Statistical Institute, vol. 87(S1), pages 79-89, May.
    3. Rao, J. N. K. & Wu, Changbao, 2010. "Pseudo–Empirical Likelihood Inference for Multiple Frame Surveys," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1494-1503.
    4. Jean-Claude Deville & Yves Tille, 2004. "Efficient balanced sampling: The cube method," Biometrika, Biometrika Trust, vol. 91(4), pages 893-912, December.
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    Cited by:

    1. Timo Schmid & Markus Zwick, 2020. "Vorwort der Herausgeber," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(2), pages 117-120, July.

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