Arbeitspapier

Heterogeneity, Frictional Assignment and Home-ownership

A model of the distribution of home-ownership in a city is developed. Heterogeneous houses are built by a competitive development industry and either rented competitively or sold through directed search to households which differ in wealth and sort over housing types. In the absence of both financial restrictions and constraints on house characteristics, higher income households are more likely to own and lower quality housing is more likely to be rented. Calibrated to match average features of housing markets within U.S. cities, the model is qualitatively consistent with U.S. data on the relationships between observed differences in median income, inequality, median household age, and construction/land costs across cities and both home-ownership and the average cost of owning vs. renting. Policies designed to improve housing affordability raise both housing quality and ownership for lower income households while lowering housing quality (but not ownership) for high income ones.

Sprache
Englisch

Erschienen in
Series: Queen's Economics Department Working Paper ; No. 1396

Klassifikation
Wirtschaft
Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
Housing Supply and Markets
General Regional Economics (includes Regional Data)
Thema
House prices
liquidity
search
income inequality

Ereignis
Geistige Schöpfung
(wer)
Head, Allen Charles
Lloyd-Ellis, Huw
Stacey, Derek
Ereignis
Veröffentlichung
(wer)
Queen's University, Department of Economics
(wo)
Kingston (Ontario)
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Head, Allen Charles
  • Lloyd-Ellis, Huw
  • Stacey, Derek
  • Queen's University, Department of Economics

Entstanden

  • 2018

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