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Segmented Housing Search

delete2020-03-01
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OA
AI
M
Monika Piazzesi *
S
Schneider, Martin
S
Stroebel, Johannes
DOI:10.1257/aer.20141772delete
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Abstract

Abstract

En 中文
We study housing markets with multiple segments searched by heterogeneous clienteles. In the San Francisco Bay Area, search activity and inventory covary negatively across cities, but positively across market segments within cities. A quantitative search model shows how the endogenous flow of broad searchers to -high-inventory segments within their search ranges induces a positive relationship between inventory and search activity across segments with a large common clientele. The prevalence of broad searchers shapes the response of housing markets to localized supply and demand shocks. Broad searchers help spread shocks across many segments and reduce their effect on local market activity.
Keywords:
MARKET
DYNAMICS
LIQUIDITY
MOMENTUM
PRICES
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

American Economic Review cover
American Economic Review
IF:
11.6
Papers:
5.0K
Citations:
7.5W

Organization

N
National Bureau of Economic Research
Scholars:
2.0K
Papers: 2.4K
Citations: 1.1W
Cited Papers

Cited Papers

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Hot and Cold Seasons in the Housing Market
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Search, Liquidity, and the Dynamics of House Prices and Construction
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A unified framework for measuring preferences for schools and neighborhoods
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Understanding Booms and Busts in Housing Markets
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