• Media type: E-Book
  • Title: Uncertainty in the Housing Market : A Learning Model and Evidence from Household Survey Data
  • Contributor: Nguyen, Huong (Vina) [Author]
  • Published: [S.l.]: SSRN, [2014]
  • Extent: 1 Online-Ressource (37 p)
  • Language: English
  • DOI: 10.2139/ssrn.2429791
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 26, 2014 erstellt
  • Description: This paper argues that uncertainty can lead to higher price volatility and persistent estimation errors in the housing market. Empirically, I construct a Household Sentiment Index (HSI) by applying the Case-Shiller repeat-sales estimation method to the households' survey responses in the Panel Studies of Income Dynamics (PSID). I find that compared to the actual housing prices in the same state, the HSI consistently overestimated the growth rate after mid-1990s and exhibited more volatility over the entire period from 1968 to 2011. Theoretically, I show that these facts can result from the households' uncertainty regarding whether a recent change in the market is temporary or permanent. A housing model incorporating this assumption and a Bayesian learning mechanism is able to match the volatility of housing prices. As a proxy for the sentiment index, the one-period forecast from the model shows persistent under-estimation and over-estimation of housing prices, resembling the behavior of the PSID responses
  • Access State: Open Access