The recent progress of spatial econometrics has developed a new technique called the “spatial hedonic approach,” which considers the elements of spatial autocorrelation among property values and geographically distributed attributes. The practical difficulties in applying spatial econometric...

The purpose of this paper is to explain the decentralization process of an urban spatial structure in terms of the strategic interactions between firms. For that purpose, we expand the Hotelling model of a linear city to incorporate two aspects of the urban spatial structure, namely, the...

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...

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...

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...

This paper investigates nonlinearity in parametric spatial process models that incorporate regime-switching by means of a smooth transition autoregressive process. We derive a Lagrange Multiplier (LM) test for nonlinearity as well as several joint LM tests for nonlinearity and the traditional...

The willingness of households to pay for prevention against industrial risks can be revealed by real estate markets. By using very rich microdata, we study housing prices in the vicinity of hazardous industries near three important French cities. We show that the impact of hazardous plants on...

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...

The study of the geographical distribution of firms and of the dynamic pattern of firm entry and firm exits is a particularly relevant issue in regional health economics especially in the view of policy intervention to geographically balance health service supply and demand. The current state of...

This study is the first attempt to examine the impacts of a natural disaster at the plant level, focusing on the Great Hanshin-Awaji (Kobe) earthquake, which occurred in 1995 and affected numerous plants in Kobe city. In this study, I use plant-level data to re-examine the creative disaster...