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Cited by 292

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

ECONOMIC FUNDAMENTALS IN LOCAL HOUSING MARKETS: EVIDENCE FROM U.S. METROPOLITAN REGIONS

Open access
Hwang, Min, Quigley, John M.·2006·Journal of Regional Science

Abstract

ABSTRACT This paper investigates the effects of national and regional economic conditions on outcomes in the single‐family housing market: housing prices, vacancies, and residential construction activity. Our three‐equation model confirms the importance of changes in regional economic conditions, income, and employment on local housing markets. The results also provide the first detailed evidence on the importance of vacancies in the owner‐occupied housing market on housing prices and supplier activities. The results also document the importance of variations in materials, labor and capital costs, and regulation in affecting new supply. Simulation exercises, using standard impulse response models, document the lags in market responses to exogenous shocks and the variations arising from differences in local parameters. The results also suggest the importance of local regulation in affecting the pattern of market responses to regional income shocks.

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Crossref · 10.1111/j.1467-9787.2006.00480.x

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Metadata

Authors
Hwang, M., & Quigley, J. M.
Venue
Journal of Regional Science
Publisher
Wiley
Published
2006-07-19
Volume
46
Issue
3
Pages
425-453
ISSN
  • 0022-4146 (ISSN-L)
  • 1467-9787
OpenAlex
W1775630558
Cited by
292
References
35
FWCI
21.50
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: ECONOMIC FUNDAMENTALS IN LOCAL HOUSING MARKETS: EVIDENCE FROM U.S. METROPOLITAN REGIONS. https://app.cochat.ai/papers/10.1111/j.1467-9787.2006.00480.x
The paper
Hwang, M., & Quigley, J. M. (2006). ECONOMIC FUNDAMENTALS IN LOCAL HOUSING MARKETS: EVIDENCE FROM U.S. METROPOLITAN REGIONS. Journal of Regional Science. https://doi.org/10.1111/j.1467-9787.2006.00480.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.