Understanding Booms and Busts in Housing Markets

Working Paper: NBER ID: w16734

Authors: Craig Burnside; Martin Eichenbaum; Sergio Rebelo

Abstract: Some booms in housing prices are followed by busts. Others are not. It is generally difficult to find observable fundamentals that are useful for predicting whether a boom will turn into a bust or not. We develop a model consistent with these observations. Agents have heterogeneous expectations about long-run fundamentals but change their views because of “social dynamics.” Agents with tighter priors are more likely to convert others to their beliefs. Boom-bust episodes typically occur when skeptical agents happen to be correct. The booms that are not followed by busts typically occur when optimistic agents happen to be correct.

Keywords: No keywords provided

JEL Codes: E32; R31


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
agents' beliefs about housing fundamentals (R21)boom-bust cycles (E32)
skeptical agents being correct about the fundamentals (D80)boom-bust episodes (E32)
optimistic agents being correct (D84)booms do not lead to busts (E32)
social interactions (Z13)expectations of economic agents (D84)
dynamics of agents' beliefs (D83)fluctuations in housing prices (R31)

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