We test whether output growth in European economic agglomeration regions depends on financial development. To this end we suggest a relative measure of the quality of financial institutions rather than the usual quantity proxy of financial development. In order to measure the quality of...

A Bayesian model averaging procedure is presented that makes use of a finite mixture of many model structures within the class of vector autoregressive (VAR) processes. It is applied to two empirical issues. First, stability of the Great Ratios in U.S. macro-economic time series is investigated,...

The empirical support for a real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure. This procedure makes use of a finite mixture of many models within the class ofvector autoregressive (VAR) processes. The linear VAR model is extendedto...

This paper describes regional touristic supply under the framework of territorial capital to understand which territorial assets are the most important for stimulating economic growth. We used spatial regression models to consider spatial dependencies among regions, and Bayesian Model Averaging...

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...

Multiple regression is frequently used across the various social sciences to analyze cross-sectional data. However, it can often times be challenging to justify the assumption of common regression coefficients across all respondents. This manuscript presents a heterogeneous Bayesian regression...

The persistent correlations between income and mortality, and inequality and mortality in the US is well established. It has been demonstrated with various empirical models at different levels of analysis. However, there is no consensus on the relevant confounding factors or even the functional...

The discussion on regional disparity is essential for addressing politically sensitive policy issues in any federal polity. The research outcome of regional disparity analysis is, however, often ambiguous and is not robust to choice of strategies, namely β and σ convergence analysis. The...

In this paper we reevaluate the returns to education based on the increase in the compulsory schooling age from 14 to 15 in the UK in 1947. We provide a Bayesian fuzzy regression discontinuity approach to infer the effect on earnings for a subset of subjects who turned 14 in a narrow window...

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...