This paper offers two innovations for empirical growth research. First, the paper discusses principal components augmented regressions to take into account all available information in well-behaved regressions. Second, the paper proposes a frequentist model averaging framework as an alternative...

The location of new homes defines the urban-rural fringe and determines many facets of the urban-rural interaction set in motion by construction of new homes in previously rural areas. Home, neighborhood and school district characteristics play a crucial role in determining the spatial location...

This paper explores the contribution of knowledge capital to total factor productivity differences among regions within a regression framework. We provide an econometric derivation of the relationship and show that the presence of latent/unobservable regional knowledge capital leads to a model...

This paper explores the contribution of knowledge capital to total factor productivity differences among regions within a regression framework. The dependent variable is total factor productivity, defined as output (in terms of gross value added) per unit of labour and physical capital combined,...

This paper analyzes the interest rate setting of the European Central Bank (ECB) both before and after the outbreak of the global financial crisis. In the current monetary policy literature, researchers typically select one Taylor rule-based model in order to analyze the interest rate setting of...

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...

The paper studies the impact of intangible assets on economic growth and unemployment from a regional perspective. The familiar relationship between changes in the unemployment rate and economic growth – known as Okun's law – is taken as a workhorse of the analysis and estimated for the 27...

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...