Ahlfeldt, Gabriel M.
ORCID: 0000-0001-5664-3230, Heblich, Stephan and Seidel, Tobias
(2021)
Micro-geographic property price and rent indices.
CEP Discussion Papers (1782).
London School of Economics and Political Science. Centre for Economic Performance, London, UK.
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Abstract
We develop a programming algorithm that predicts a balanced-panel mix-adjusted house price index for arbitrary spatial units from repeated cross-sections of geocoded micro data. The algorithm combines parametric and non-parametric estimation techniques to provide a tight local fit where the underlying micro data are abundant and reliable extrapolations where data are sparse. To illustrate the functionality, we generate a panel of German property prices and rents that is unprecedented in its spatial coverage and detail. This novel data set uncovers a battery of stylized facts that motivate further research, e.g. on the density bias of price-to-rent ratios in levels and trends, within and between cities. Our method lends itself to the creation of comparable neighborhood-level qualified price and rent indices for residential and commercial property.
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | https://cep.lse.ac.uk/_new/publications/discussion... |
| Additional Information: | © 2021 The Authors |
| Divisions: | Centre for Economic Performance Geography and Environment |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HB Economic Theory |
| JEL classification: | R - Urban, Rural, and Regional Economics > R1 - General Regional Economics > R10 - General |
| Date Deposited: | 04 Mar 2022 10:42 |
| Last Modified: | 11 Sep 2025 05:03 |
| URI: | http://eprints.lse.ac.uk/id/eprint/113922 |
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