This paper evaluates the impact of a sudden and unexpected nation-wide alcohol sales ban in South Africa. We find that this policy causally reduced injury-induced mortality in the country by at least 14%. We argue that this estimate constitutes a lower bound on the true impact of alcohol on...

This paper evaluates the impact of a sudden and unexpected nationwide alcohol sales ban in South Africa. We find that this policy causally reduced injury-induced mortality in the country by at least 14%. We argue that this estimate constitutes a lower bound on the true impact of alcohol on...

This paper investigates firms' responses to threshold-dependent intensity of tax enforcement. We use administrative tax return data over the entire population of German firms and exploit industry variation in firm size thresholds applied by the tax administration. In our setting, each threshold...

Crime is a major impediment to economic growth and development in Nigeria despite measures taken to reduce it. There is, however, currently no major statistical analysis of how crime affects economic growth in that country. This study examines the link between crime and growth based on the...

When considering issues of measuring welfare beyond gross domestic product (GDP), a key ongoing, but unfinished, agenda concerns how to measure the outputs of goods and services which are "free at the point of delivery". Public services such as schools and health services are major examples of...

This paper describes the use of the fantasy research pitching exercise in the context of the UQ Summer Research Program. The authors provide their personal reflections on the process of doing the exercise and highlight the role of Faff's (2015, 2017) pitching research template as a useful...

This article analyses the optimal punishment structure set by a regulator in banking markets under asymmetric information. Relying on a theoretical model, we analyse whether a decreasing, constant, or increasing sanction scheme deters potentially repeated offences in banking. We find that an...

This study investigates the predictive power of CEO characteristics on accounting fraud utilizing a machine learning approach. Grounded in upper echelons theory, we show the predictive value of widely neglected CEO characteristics for machine learning-based accounting fraud detection in...

We analyze 15 German cartels, focusing on the personal characteristics of the individual participants, the methods and frequency of communication as well as the internal organizational structures within the cartels and their eventual breakup. Our results indicate that cartel members are highly...