Segmented Housing Search

S-Tier
Journal: American Economic Review
Year: 2020
Volume: 110
Issue: 3
Pages: 720-59

Authors (3)

Monika Piazzesi (not in RePEc) Martin Schneider (not in RePEc) Johannes Stroebel (National Bureau of Economic Re...)

Score contribution per author:

2.681 = (α=2.01 / 3 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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.

Technical Details

RePEc Handle
repec:aea:aecrev:v:110:y:2020:i:3:p:720-59
Journal Field
General
Author Count
3
Added to Database
2026-01-29