• Medientyp: E-Book
  • Titel: A Dynamic Model of Demand for Houses and Neighborhoods
  • Beteiligte: Bayer, Patrick J. [VerfasserIn]; McMillan, Robert [Sonstige Person, Familie und Körperschaft]; Murphy, Alvin [Sonstige Person, Familie und Körperschaft]; Timmins, Christopher [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2011]
  • Erschienen in: NBER Working Paper ; No. w17250
  • Umfang: 1 Online-Ressource (56 p)
  • Sprache: Englisch
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 2011 erstellt
  • Beschreibung: This paper develops a dynamic model of neighborhood choice along with a computationally light multi-step estimator. The proposed empirical framework captures observed and unobserved preference heterogeneity across households and locations in a flexible way. The model is estimated using a newly assembled data set that matches demographic information from mortgage applications to the universe of housing transactions in the San Francisco Bay Area from 1994- 2004. The results provide the first estimates of the marginal willingness to pay for several non-marketed amenities – neighborhood air pollution, violent crime and racial composition – in a dynamic framework. Comparing these estimates with those from a static version of the model highlights several important biases that arise when dynamic considerations are ignored
  • Zugangsstatus: Freier Zugang