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 paper reviews the empirical relationships between credit growth, economic recovery, and bank profitability in Europe after the global financial crisis (GFC). We find that the post-GFC recoveries in Europe have been weaker than previous recoveries, with the 'double-dip' recessions in 2011-12...

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...

This contribution analyzes the impact of intangible capital on labor productivity growth across countries at the aggregate and sectoral levels by employing an econometric growth-accounting approach. First, our results show that intangible capital deepening accounts for around 40 percent of labor...

This paper uses panel data for 116 countries over the period 1995-2016 to investigate the heterogeneity of the debt-growth nexus across countries and the factors underlying it. In the first step, the grouped fixed effects (GFE) estimator proposed by Bonhomme and Manresa (2015) is used to...

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...

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...

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....