Housing markets with endogenous search
Theory and implications
Bibliographic Data
| ID | 11080530 |
|---|---|
| Authors | Joseph Williams (0000-0002-7152-5010, Anthem (United States), corresponding author) |
| Year | 2018 |
| Volume | 105 |
| Pages | 107-120 |
| Publication date | 2018-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Urban Economics (JOURNAL) |
| Journal identifiers | ISSN: 0094-1190 • E-ISSN: 1095-9068 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jue.2017.12.001 |
| OpenAlex | W2775752050 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
In this model buyers and sellers enter a housing market with imperfect elasticity. Buyers screen houses for sale in two segments of the market select a set of houses for search in each segment, and then control their intensities of costly search among houses in their preferred sets. Their truncated distributions of acceptable match values are assumed to be power law. Partial equilibrium is calculated explicitly and steady state is characterized analytically. The analysis is extended to multiple segments and markets. Empirical implications include higher average prices and price–rent ratios in preferred segments and markets, as well as spatial diffusion across segments and markets of average prices, price–rent ratios, and search. The predictions are consistent with existing empirical evidence
Econometrics · Economics · Empirical evidence · Imperfect · Market power · Market segmentation · Microeconomics · Price elasticity of demand · Search theory · Set (abstract data type · Computer Science · Economic and Environmental Valuation · Housing Market and Economics · Urban Planning and Valuation
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |