Directed Search in the Housing Market

By James Albrecht, Pieter A. Gautier, Susan Vroman. Social Science Research Network, 2010

162 citations recorded by the source corpus.

In this paper, we present a directed search model of the housing market. The pricing mechanism we analyze reflects the way houses are bought and sold in the United States. Our model is consistent with the observation that houses are sometimes sold above, sometimes below and sometimes at the asking price. We consider two versions of our model. In the first version, all sellers have the same reservation value. In the second version, there are two seller types, and type is private information. For both versions, we characterize the equilibrium of the game played by buyers and sellers, and we prove efficiency. Our model offers a new way to look at the housing market from a search-theoretic perspective. In addition, we contribute to the directed search literature by considering a model in which the asking price (i) entails only limited commitment and (ii) has the potential to signal seller type.

Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/ff9ae74d2c9ac0ac464e3e89af767eefb3247c92

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Adam M. Guren
  2. W. Strange
  3. Lu Han
  4. Gilles Duranton
  5. Stuart S. Rosenthal
  6. William R. Kerr
  7. Edward L. Glaeser
  8. Pierre-Philippe Combes

In Management Science and Operations Research

  1. Adam M. Guren
  2. Lu Han
  3. W. Strange

In Marketing

  1. Lu Han
  2. W. Strange

Citations in the corpus