Nordhaus (2008) has developed a testing strategy for what he calls ‘Baumol’s diseases’, by which name he designates a number of by-products of structural change that are unwanted from an economic policy perspective. He finds that the U.S. economy is strongly affected by the ‘diseases’....

Taking a Bayesian perspective on model uncertainty for static panel data models proposed in the spatial econometrics literature considerably simplifies the task of selecting an appropriate model. A wide variety of alternative specifications that include various combinations spatial dependence in...

The focus here is on the log-normal version of the spatial interaction model. In this context, we consider spatial econometric specifications that can be used to accommodate two types of dependence scenarios, one involving endogenous interaction and the other exogenous interaction. These model...

Regional scientists frequently work with regression relationships involving sample data that is spatial in nature. For example, hedonic house-price regressions relate selling prices of houses located at points in space to characteristics of the homes as well as neighborhood characteristics....

The recent increase in R&D offshoring have raised fears that knowledge and competitiveness in advanced countries may be at risk of ‘hollowing out'. At the same time, economic research has stressed that this process is also likely to allow some reverse technology transfer and foster growth at...

This study empirically investigates the existence or not of Environmental Kuznets Curve (EKC) hypothesis in Nordic and Non-Nordic European countries, with carbon dioxide emissions (and ecological footprint for robustness tests) as proxy of environmental quality. The data are spanning from the...

Nordhaus (2008) has developed a testing strategy for what he calls "Baumol's diseases", by which name he designates a number of by-products of structural change that are unwanted from an economic policy perspective. He finds that the U.S. economy is strongly affected by the "diseases". This...

This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first step calculates Bayesian probabilities for various assignments of regions to two clubs using a general stochastic space-time dynamic panel relationship between growth rates and...

This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first step involves identifying the number and composition of clubs using a space-time panel data model for annual income growth rates in conjunction with Bayesian model comparison...

We discuss Monte Carlo methodology that can be used to explore alternative approaches to estimating spatial regression models. Our focus is on models that include spatial lags of the dependent variable, e.g., the SAR specification: y = ρ W y X β Ε. A major point is that following publication...