Reflections on hedonic price modeling

Purpose This paper provides a critical history of residential hedonic price modeling, highlighting key issues and advances. It is based on the keynote address presented by the first author at the European Real Estate Society Annual Conference in Sopot (Gdańsk), Poland, in June 2024. Design/methodology/approach The core of the paper is a high-level review of the methodological literature, focusing on three issues: model specification, multicollinearity and functional form. This review is framed by an early example of hedonic price modeling and a current application. These examples demonstrate key issues and advances in hedonic price modeling. Findings Hedonic price research has expanded dramatically with the advent of personal computing. Increased availability of data has enabled better model specification. At the same time, the development of interpretable machine learning techniques has allowed much more flexible modeling of functional form. However, multicollinearity continues to be, by definition, an intractable problem. Originality/value This paper presents a review of residential hedonic price modeling intended to provide researchers with a useful high-level perspective on the topic. A case study of Gdańsk illustrates an approach to producing interpretable results from machine learning estimations.

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Publication Details

Journal
Journal of European real estate research
Published
2025-03-14
DOI
https://doi.org/10.1108/jerer-11-2024-0087
Citations
2
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
6.26
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article

Reflections on hedonic price modeling

Martin Hoesli, Michael Mayer, Steven C. Bourassa, Nicola Stalder
2 citations
Journal of European real estate research
Housing Market and Economics
6.26
article

Reflections on hedonic price modeling

Martin Hoesli, Michael Mayer, Steven C. Bourassa, Nicola Stalder
article en
2 citations

Abstract

Purpose This paper provides a critical history of residential hedonic price modeling, highlighting key issues and advances. It is based on the keynote address presented by the first author at the European Real Estate Society Annual Conference in Sopot (Gdańsk), Poland, in June 2024. Design/methodology/approach The core of the paper is a high-level review of the methodological literature, focusing on three issues: model specification, multicollinearity and functional form. This review is framed by an early example of hedonic price modeling and a current application. These examples demonstrate key issues and advances in hedonic price modeling. Findings Hedonic price research has expanded dramatically with the advent of personal computing. Increased availability of data has enabled better model specification. At the same time, the development of interpretable machine learning techniques has allowed much more flexible modeling of functional form. However, multicollinearity continues to be, by definition, an intractable problem. Originality/value This paper presents a review of residential hedonic price modeling intended to provide researchers with a useful high-level perspective on the topic. A case study of Gdańsk illustrates an approach to producing interpretable results from machine learning estimations.

Journal of European real estate researchVol. 18(2)
University of Geneva (CH), University of Bern (CH), Bern University of Applied Sciences (CH), University of Aberdeen (GB), Deutsche Telekom (Austria) (AT), Agenzia Spaziale Italiana (IT), Japan Real Estate Institute (JP)
Openalex Percentile: Top 5%
Housing Market and Economics
6.26
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Reflections on hedonic price modeling — Martin Hoesli, Michael Mayer, et al. · Journal of European real estate research (2025) | TGRS Research Map | TGRS