Through a time-varying VAR model with drifting parameters and stochastic volatilities (Cogley and Sargent, 2005, Primiceri, 2005), we explore nonlinearities on the French housing and credit markets, which give rich insights on the persistent bubble of the 2000s. While the price increase took...

In this study, we propose a spatial stochastic volatility model in which the latent log-volatility terms follow a spatial autoregressive process. Though there is no spatial correlation in the outcome equation (the mean equation), the spatial autoregressive process defined for the log-volatility...

We develop a general equilibrium model that describes the evolution of land prices and rental rates in a monocentric city. The model explores how differences in a city's borders and land use, i.e., zoning and the presence of undevelopable land, as well as differences in transit technology, i.e.,...