Presented by Stern Economics, FAS Economics, and C.V. Starr Center for Applied Economics.
Please contact Ariah Dow (firstname.lastname@example.org) with any questions.
To what extent did an expansion and contraction of credit drive the 2000s housing boom and bust? The existing literature lacks consensus, with findings ranging from credit having no effect to credit driving the entire house price cycle. We show that the key difference behind these disparate results is the extent to which credit insensitive agents such as landlords and unconstrained savers absorb credit-driven demand, which depends on the degree of segmentation in housing markets. We develop a model with frictional rental markets which allows us to consider cases in between the extremes of no segmentation and perfect segmentation typically assumed in the literature. We argue that the relative elasticity of the price-to-rent ratio and homeownership with respect to an identified credit shock is a sufficient statistic to measure the degree of segmentation. We estimate this moment using regional variation in credit supply and use it to calibrate our model. Our results reveal that rental markets are highly frictional and close to fully segmented, which implies large effects of credit on house prices. In particular, changing credit conditions can explain between 28% and 47% of the rise in price-rent ratios over the boom.