We study the location patterns of business-oriented service and manufacturing industries in France. We develop a new test of localization considering space as continuous. Our test relies on a measure of divergence in the space of density distributions that allows us to assess whether or not the...

This paper explores the relationship between residential proximity of individuals from the same ethnic group and the probability of finding a job through social networks, relative to other search methods. Using individual-level data from the UK Labour Force survey and spatial statistics...

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices,...

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants, nighttime lights, and temperature, we...

A common problem in historical research involves harmonizing geographic units across time or different levels of aggregation. One approach is to use " crosswalks" that associate factors located within one geographic unit to different " reference" units based on relative areas . We develop an...

In applied historical research, geographic units often differ in level of aggregation across datasets. One solution is to use crosswalks that associate factors located within one geographic unit to another, based on their relative areas. We develop an alternative approach based on relative...

The present descriptive-analytical study employs a survey research method, documentary technique, and applied-developmental research design to zone the 18 neighborhoods of Sabzevar City in terms of urban poverty indicators. Data collection was done through a questionnaire distributed among a...

This article examines the spatially varying effect of age on single-family house (SFH) prices. Age has been shown to be a key driver for house depreciation and is usually associated with a negative price effect. In practice, however, there exist deviations from this behavior which are referred...

We propose a new estimation methodology to address the presence of covariate measurement error by exploiting the availability of spatial data. The approach uses neighboring observations as repeated measurements, after suitably controlling for the random distance between the observations in a way...

Non-farm rural enterprises (NFRE) are increasingly studied because of their role in poverty reduction. However, existing studies of the effects of infrastructure on NFRE may give incorrect inferences because they typically fail to account for spatial effects. Such effects could reflect either...