By merging administrative data on public finances of all municipalities in Germany with individual data from the German Socio-Economic Panel, we explore whether local public expenditures on sports facilities influences individual labor market outcomes. Our identification strategy follows a...

A peculiarity in professional sports is the fact that leagues regularly hold monopoly power within their sports. However, whether and to what extent these leagues may compete with other leagues across sports is relatively unexplored. This paper contributes to the literature by analyzing...

Ever since the pioneering work of Rottenberg (1956) and Neale (1964), the uncertainty of outcome hypothesis (UOH) has played a major role in the economic analysis of professional sport leagues. However, decades f empirical research have not been successful in establishing clear evidence for the...

We try to better understand possible reasons for deviations between statistically-measured competitive balance (CB) and perceived CB. Moreover, we suggest answers to the following questions: are there specific dimensions of CB that are perceived to be significantly less balanced in the Danish...

The theory of competitive balance represents one of the core concepts of sports economics. Based upon an international research project analyzing the perception of competitive balance by consumers (Pawlowski 2013a, 2013b; Pawlowski & Budzinski 2013, 2014), we argue in this paper that behavioural...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...