We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...

Using data for 70 U.S. metropolitan areas, this study explores spatial heterogeneity in house price dynamics. We use recent advances in panel econometrics that allow for spatial heterogeneity, cross-sectional dependence, and non-stationary but cointegrated data. We test for spatial differences...

A range of hypotheses have been put forward to explain the boom in house prices that occurred in the United States from the mid-1990s to 2007. This paper considers the relative importance of two of these hypotheses. First, global imbalances increased liquidity in the US financial system, driving...