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Testing for Information Asymmetries in Real Estate Markets / Pablo Kurlat, Johannes Stroebel.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w19875.Publication details: Cambridge, Mass. National Bureau of Economic Research 2014.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We study equilibrium outcomes in markets with asymmetric information about asset values among both buyers and sellers. In residential real estate markets hard-to-observe neighborhood characteristics are a key source of information heterogeneity: sellers are usually better informed about neighborhood values than buyers, but there are some sellers and some buyers that are better informed than their peers. We propose a new theoretical framework for analyzing such markets with many heterogeneous assets and differentially informed agents. Consistent with the predictions from this framework, we find that changes in the seller composition towards (i) more informed sellers and (ii) sellers with a larger supply elasticity predict subsequent house-price declines and demographic changes in that neighborhood. This effect is larger for houses whose value depends more on neighborhood characteristics, and smaller for houses bought by more informed buyers. Our findings suggest that home owners have superior information about important neighborhood characteristics, and exploit this information to time local market movements.
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January 2014.

We study equilibrium outcomes in markets with asymmetric information about asset values among both buyers and sellers. In residential real estate markets hard-to-observe neighborhood characteristics are a key source of information heterogeneity: sellers are usually better informed about neighborhood values than buyers, but there are some sellers and some buyers that are better informed than their peers. We propose a new theoretical framework for analyzing such markets with many heterogeneous assets and differentially informed agents. Consistent with the predictions from this framework, we find that changes in the seller composition towards (i) more informed sellers and (ii) sellers with a larger supply elasticity predict subsequent house-price declines and demographic changes in that neighborhood. This effect is larger for houses whose value depends more on neighborhood characteristics, and smaller for houses bought by more informed buyers. Our findings suggest that home owners have superior information about important neighborhood characteristics, and exploit this information to time local market movements.

Hardcopy version available to institutional subscribers

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