This paper re-examines the stationarity of national health care expenditures and GDP in a panel setting utilizing data from 20 OECD countries over the period from 1960 to 1997. Previous research in this area has recognized the drawback of not allowing for structural breaks in their unit root tests and noted that their empirical results may not be robust. We advance the literature by utilizing a recently developed panel LM unit root test that allows for heterogeneous level shifts. In contrast to previous analyses that did not consider breaks, our results reject the unit root null hypothesis for both series.

This study estimates the relationship between production and salary structure in Major League Soccer (MLS), the highest level of professional soccer (association football) in North America. Soccer production, measured as league points per game, is modeled as a function of a team’s total wage bill, the distribution of the team’s wage bill, and goals per game. Both the Gini coefficient and the coefficient of variation are utilized to measure salary inequality. The results indicate that production in MLS is negatively responsive to increases in the salary inequality; the estimation model with the best fit uses the coefficient of variation to measure dispersion. Furthermore, MLS teams appear to be constrained in their choices of salary inequality by the salary cap and other regulations.

This paper analyzes productivity and efficiency of English professional football clubs from 1981–1982 to 2010–2011, using a random coefficient stochastic distance frontier (SDF) model. Our Bayes factor analysis indicates that this model is strongly favored over the commonly used fixed coefficient SDF model. Our empirical results show that clubs in our sample operate at different levels of technical efficiency and technical change. Our further analysis using ordered logistic regression suggests that technical efficiency is more important than technical change in predicting whether clubs in our sample are promoted or relegated.

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