This paper uses quantile regression, while accounting for spatial autocorrelation, to examine the simultaneous space–time impact of foreclosures on neighborhood property values. We find that negative price externalities associated with neighborhood foreclosures are greatest (1) among...

This paper analyzes how the dynamics of house prices are affected by the option to rebuild or enlarge existing dwellings. The nonlinear functional form for option value and zoning limits provides identification of changes in option value over the cycle. For homes with high development potential,...

Despite widespread recognition that housing renovation is influenced by “neighborhood effects”, virtually all empirical studies have failed to identify a positive feedback effect between renovation activity and neighborhood quality. By explicitly modeling the spatial interdependence of...

There have been dramatic swings in retail gasoline prices over the past decade, along with reports in the media of consumers changing their driving habits — providing a unique opportunity to examine how consumers respond to changes in gasoline prices. This paper exploits a unique and extremely...

This paper investigates how layoffs due to import competition affect new and existing businesses at a highly local level. To conduct our analysis, we construct measures of import-related layoffs at the ZIP code level and combine these with ZIP code-level establishment counts. We find that...

This paper explores the problems associated with the location choice of newly created establishments at the aggregate level. Much work has been done in this domain, however, several issues arise when analyzing involved phenomena, which scholars have yet to fully explore: 1) addressing the excess...

Variation in regulatory costs over time and across different types of investment projects creates risk for developers who hold land. These so-called implicit costs, which arise as a result of regulatory delay in the land development process, are hypothesized to be potentially large, but...

We use detailed micro-geographic data to document the location patterns of Canadian manufacturing industries and changes in those patterns during the first decade of 2000. Depending on industry classifications and years, 40 to 60% of industries are geographically localized, i.e., are spatially...

This paper, by using annual surveys of manufacturing firms from 1998 to 2005 in China, first documents a positive correlation between industrial agglomeration and firm size, which is previously found in developed economies. Next, by using the instrumental variable estimations, we identify that...

This paper proposes a spatial panel model for German matching functions to avoid possibly biased and inefficient estimates due to spatial dependence. We provide empirical evidence for the presence of spatial dependencies in matching data. Based on an official data set containing monthly...