We examine spatially correlated interregional flows measured as binary choice outcomes. Since the dependent variable is not only binary and dyadic, but also spatially correlated, we propose a spatial origin–destination probit model and a Bayesian estimation methodology that avoids inconsistent...

We develop a general space–time filter applied to panel data models in order to control for heterogeneity as well as both time and spatial dependence. Treatment of initial period observations is analyzed when the number of time periods is small. A second issue relates to a restriction implied...

This study estimates a household's willingness to pay to avoid the stigma of crime while minimizing concerns of omitted variable bias. By assuming methamphetamine producers locate approximately at random within a narrowly defined neighborhood, this study is able to use hedonic estimation methods...

Understanding the spatial variation in housing prices plays a crucial role in topics ranging from the cost of living to quality-of-life indices to studies of public goods and household mobility. Yet analysts have not reached a consensus on the best source of such data, variously using...

In this paper I estimate the spatial diffusion of housing prices across U.S. states over a period from 1975 to 2011, showing how long and to what magnitude state-level housing prices are affected by a price shock emanating from surrounding states. I capture the spatial diffusion of regional...

Housing markets typically exhibit a strong positive correlation between the rate of price increase and the number of houses sold. We document this correlation on high-quality Dutch data for the period 1985–2007, and estimate a VEC-model that allows us to study the mechanism giving rise to the...

A number of studies have measured negative price effects of foreclosed residential properties on nearby property sales. However, only one other study addresses which mechanism is responsible for these effects. I measure separate effects for different types of foreclosed properties and use these...