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Schätzung regionaler Einkommensindikatoren unter Transformationen in Abwesenheit von Populations-Mikrodaten

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  • Würz, Nora

Abstract

Für Deutschland und andere entwickelte Länder werden Methoden zur Schätzung von sozioökonomischen Indikatoren auf räumlich disaggregierter Ebene benötigt, ohne dabei Populations-Mikrodaten zu verwenden, die meist nicht öffentlich verfügbar sind. Viele sozioökonomische Indikatoren, zum Beispiel Einkommen, sind schief verteilt, weswegen zur Erfüllung der Annahmen der Modelle (datengetriebene) Transformationen der abhängigen Variablen verwendet werden. Hierfür werden Verzerrungs-Korrekturen für die Small-Area-Vorhersagen benötigt. Die vorgestellte Methodik zur Verzerrungs-Korrektur basiert auf einer Kerndichte-Schätzung. Sie wird auf Daten des Sozio-oekonomischen Panels 2011 angewendet, um das durchschnittliche Bruttoeinkommen für 96 deutsche Raumordnungsregionen zu schätzen

Suggested Citation

  • Würz, Nora, 2024. "Schätzung regionaler Einkommensindikatoren unter Transformationen in Abwesenheit von Populations-Mikrodaten," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 76(2), pages 107-116.
    • Handle: RePEc:zbw:wistat:294180
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    References listed on IDEAS

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    1. Natalia Rojas‐Perilla & Sören Pannier & Timo Schmid & Nikos Tzavidis, 2020. "Data‐driven transformations in small area estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 121-148, January.
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