This paper analyzes county-level firm births across the United States using a spatial count model that permits spatial dependence, cross-correlation among different industry types, and over-dispersion commonly found in empirical count data. Results confirm the presence of spatial autocorrelation...

This paper formulates and analyzes Bayesian model variants for the analysis of systems of spatial panel data with binary-dependent variables. The paper focuses on cases where latent variables of cross-sectional units in an equation of the system contemporaneously depend on the values of the same...

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,...

This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation,...

Theories of economic growth have long recognized that the majority of growth resultsfrom endogenous changes in technology that emerge from the profit motivateddevelopment of new knowledge. However, recent theorizing has suggested that thecreation of knowledge in and of itself does not directly...

During the last years, gravity equations have leapt from the trade literature over into the literature on financial markets. Martin and Rey (2004) were the first to provide a theoretical model for cross-border asset trade, yielding a structural gravity equation that could be tested empirically....

This article analyses determinants for 2001 farmland rental prices from 3,819 farms in Germany. Based on specification tests we estimate a general spatial model to account for both spatial relationships among rental prices of neighbouring farmers and spatially autocorrelated error terms....

This paper contributes to the literature on macroeconometric evaluation of active labour market policies (ALMP) by considering the regional effects on both the matching process and the job-seeker rate. We use an unique new data set on all Austrian job-seekers between 2001 to 2007 and apply GMM...

We test a New Economic Geography (NEG) model for U.S. counties, employing a new strategy that allows us to bring the full NEG model to the data, and to assess selected elements of this model separately. We find no empirical support for the full NEG model. Regional wages in the U.S. do not...

Flow data across regions can be modeled by spatial econometric models, see LeSage and Pace (2009). Recently, regional studies became interested in the aggregation and disaggregation of flow models, because trade data cannot be obtained at a disaggregated level but data are published on an...