An Empirical Stationary Equilibrium Search Model Of The Housing Market

Abstract

This article specifies and estimates a computationally tractable stationary equilibrium model of the housing market. The model is rich and incorporates many of its unique features: buyers' and sellers' simultaneous search behavior, heterogeneity in their motivation to trade, transaction costs, a trading mechanism with posting prices and bargaining, and the availability of an exogenous advertising technology that induces endogenous matching. Estimation uses Maximum Likelihood methods and Multiple Listing Services data. The estimated model is used to simulate housing market outcomes when (a) the amount of information displayed on housing listings increases and (b) real estate agent's commission rates change. © (2012) by the Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.