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The Microstructure of Housing Markets

In: Handbook of Regional and Urban Economics

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  • Han, Lu
  • Strange, William C.

Abstract

This chapter surveys the literature on the microstructure of housing markets. It considers one-sided search, random matching, and directed search models. It also examines the bargaining that takes place once a match has occurred, with the bargaining taking various forms, including two-party negotiations of different types and multiparty housing auctions. The chapter reviews research on real estate brokers as intermediaries as well, focusing on the role of brokers in the matching and bargaining process, the nature of competition and entry in the brokerage industry, and the incentive issues that are present. The chapter also considers the inefficiencies that pervade the brokerage industry and the related policy debates. These are important issues both because of the inherent importance of housing and brokerage and because of the importance of housing to macroeconomic dynamics.

Suggested Citation

  • Han, Lu & Strange, William C., 2015. "The Microstructure of Housing Markets," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 813-886, Elsevier.
    • Handle: RePEc:eee:regchp:5-813
    DOI: 10.1016/B978-0-444-59531-7.00013-2
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    References listed on IDEAS

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    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. Donald R. Haurin & Jessica L. Haurin & Taylor Nadauld & Anthony Sanders, 2010. "List Prices, Sale Prices and Marketing Time: An Application to U.S. Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 659-685, Winter.
    3. Bennie D. Waller & Ray Brastow & Ken H. Johnson, 2010. "Listing Contract Length and Time on Market," Journal of Real Estate Research, American Real Estate Society, vol. 32(3), pages 271-288.
    4. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
    5. Jeremy Bulow & Paul Klemperer, 2009. "Why Do Sellers (Usually) Prefer Auctions?," American Economic Review, American Economic Association, vol. 99(4), pages 1544-75, September.
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    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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