Modelling time-varying relations in housing prices: a semiparametric panel approach

Abstract For the modelling of housing prices, housing-specific characteristics play a key role while external economic conditions are often omitted. We introduce a semi-parametric panel model with time-varying coefficients, incorporating housing-specific attributes, as well as both observed and unobserved external economic conditions. For a monthly data set spanning from 2006 to 2020 on 60 Dutch municipalities, our model accurately captures comovements in highly nonlinear housing price series, revealing significant variations in the relation over time. We find that housing characteristics and the external environment explain comparably high proportions of variation in the prices, which emphasizes that both factors should be included in empirical analyses.

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Publication Details

Journal
Journal of the Royal Statistical Society Series C (Applied Statistics)
Published
2025-02-26
DOI
https://doi.org/10.1093/jrsssc/qlaf020
Citations
1
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
3.13

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article

Modelling time-varying relations in housing prices: a semiparametric panel approach

Bernhard van der Sluis, Sean Telg, Yicong Lin, Marina Friedrich et al.
1 citations
Journal of the Royal Statistical Society Series C (Applied Statistics)
Housing Market and Economics
3.13
article

Modelling time-varying relations in housing prices: a semiparametric panel approach

Bernhard van der Sluis, Sean Telg, Yicong Lin, Marina Friedrich, Pavitram Ramdaras
article en
1 citations

Abstract

Abstract For the modelling of housing prices, housing-specific characteristics play a key role while external economic conditions are often omitted. We introduce a semi-parametric panel model with time-varying coefficients, incorporating housing-specific attributes, as well as both observed and unobserved external economic conditions. For a monthly data set spanning from 2006 to 2020 on 60 Dutch municipalities, our model accurately captures comovements in highly nonlinear housing price series, revealing significant variations in the relation over time. We find that housing characteristics and the external environment explain comparably high proportions of variation in the prices, which emphasizes that both factors should be included in empirical analyses.

Journal of the Royal Statistical Society Series C (Applied Statistics)Vol. 74(5)
Tinbergen Institute (NL), Vrije Universiteit Amsterdam (NL), Erasmus University Rotterdam (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 9%
Housing Market and Economics
3.13
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Modelling time-varying relations in housing prices: a semiparametric panel approach — Bernhard van der Sluis, Sean Telg, et al. · Journal of the Royal Statistical Society Series C (Applied Statistics) (2025) | TGRS Research Map | TGRS