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...

This paper seeks to establish the factors related to the Human Development Index, incorporating the spatial dimension in the analysis of its determinants. The variables were classified into four groups: geographic, socio-economic, demographic and infrastructure and services. The results show...

China's rapid economic growth in recent decades has not led to balanced income distribution: inter- and intra-provincial income inequality have been increasing and their respective contribution to the total income inequality remains relatively stable. Based on a new set of prefectural database...

Following a hedonic framework, this paper constructs various transaction-based commercial property price indicators for the Netherlands. Using quarterly data from the Investment Property Databank (IPD), the analysis covers a total of 10,000 listed properties over the period 2001-2011. The study...

We estimate a linear approximation of the market potential function derived in geography and trade models. Using a spatial econometric estimation approach, border effects can be identified by a differential impact of neighboring regions' purchasing power, depending on whether two regions are...

In this paper we consider ML estimation for a broad class of parameter-driven models for discrete dependent variables with spatial correlation. Under this class of models, which includes spatial discrete choice models, spatial Tobit models and spatial count data models, the dependent variable is...

China's rapid economic growth in recent decades has not led to balanced income distribution: inter- and intra-provincial income inequality have been increasing and their respective contribution to the total income inequality remains relatively stable. Based on a new set of prefectural database...

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,...

Our research aims to address the problem of inequality in income distribution from a different perspective than the usual. We intend to verify if geography influences the pattern of inequality, that is, if the standard of living varies from region to region and if, in the process of growth,...

In this study, we consider R&D collaboration networks as a mechanism that modifies knowledge flows in space, and hence as another source of interaction among regional innovation processes. Our objective is to understand the relative role of spatial neighbors and network neighbors on patenting...