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Bodenwertermittlung mit statistischen Methoden
[Land value appraisal using statistical methods]

Author

Listed:
  • Jens Kolbe

    (Technische Universität Berlin
    Humboldt-Universität zu Berlin)

  • Rainer Schulz

    (University of Aberdeen Business School)

  • Martin Wersing

    (University of Aberdeen Business School)

  • Axel Werwatz

    (Technische Universität Berlin
    Humboldt-Universität zu Berlin)

Abstract

Zusammenfassung Die Besteuerung von Immobilien auf der Grundlage von Marktwerten erfordert eine regelmäßige Bewertung einer Vielzahl von Immobilien. Vor dem Hintergrund der jüngsten Diskussion über die Reform der Grundsteuer in Deutschland wird argumentiert, dass eine wertorientierte Steuer nicht mit vertretbarem Aufwand umgesetzt werden kann. In mehreren anderen Ländern werden Massenbewertungssysteme auf Basis von statistischen Methoden für die Grundsteuerveranlagung eingesetzt. In diesem Beitrag zeigen wir, wie dies in Deutschland grundsätzlich geschehen könnte; mittels Transaktionsdaten zu deren Erhebung die lokalen Sachverständigenkommissionen gesetzlich verpflichtet sind. Wir diskutieren die Regressionsverfahren zur Schätzung von Bodenwerten aus solchen Daten und veranschaulichen sie, indem wir sie auf Daten aus Berlin anwenden. Wir kommen zu dem Ergebnis, dass die Methoden in der Lage sind, Bodenwertschätzungen zu erstellen, die gut mit fachspezifischen Einschätzungen übereinstimmen.

Suggested Citation

  • Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
  • Handle: RePEc:spr:gjorer:v:5:y:2019:i:1:d:10.1365_s41056-019-00038-9
    DOI: 10.1365/s41056-019-00038-9
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Bodenrichtwerte; Automatisierte Bewertungsverfahren; Nichtparametrische Regression; Semi-parametrische Regression;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H10 - Public Economics - - Structure and Scope of Government - - - General
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R51 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Finance in Urban and Rural Economies
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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