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To discuss the regulation of professional wrestling in the USA in order to explore how the business of professional wrestling is regulated and deregulated.
Abstract
Purpose
To discuss the regulation of professional wrestling in the USA in order to explore how the business of professional wrestling is regulated and deregulated.
Approach
Using desk-based research, the regulation and deregulation of professional wrestling will be explored.
Findings
The regulation of professional wrestling in the USA is inconsistent. The extent of regulation and deregulation of professional wrestling is dependent on the state in which the event takes place. Whether regulated or deregulated, professional wrestling is a painful, risky and injurious business wherein the economic health and well-being of the World Wrestling Entertainment (WWE) corporation, and the location in which events take place, take precedence over the health and well-being of working sports participants.
Implications
The research is limited to sports participants working in the dominant, visible and therefore arguably most accountable professional wrestling corporation in the USA. Implication of the research is that a more in-depth investigation into the utility of regulation is needed. Additionally, it raises concerns regarding the potential hidden work-related premature deaths, harms and injuries in other promotions in the USA and beyond.
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Steve McDonald, Amanda K. Damarin, Jenelle Lawhorne and Annika Wilcox
The Internet and social media have fundamentally transformed the ways in which individuals find jobs. Relatively little is known about how demand-side market actors use online…
Abstract
The Internet and social media have fundamentally transformed the ways in which individuals find jobs. Relatively little is known about how demand-side market actors use online information and the implications for social stratification and mobility. This study provides an in-depth exploration of the online recruitment strategies pursued by human resource (HR) professionals. Qualitative interviews with 61 HR recruiters in two southern US metro areas reveal two distinct patterns in how they use Internet resources to fill jobs. For low and general skill work, they post advertisements to online job boards (e.g., Monster and CareerBuilder) with massive audiences of job seekers. By contrast, for high-skill or supervisory positions, they use LinkedIn to target passive candidates – employed individuals who are not looking for work but might be willing to change jobs. Although there are some intermediate practices, the overall picture is one of an increasingly bifurcated “winner-take-all” labor market in which recruiters focus their efforts on poaching specialized superstar talent (“purple squirrels”) from the ranks of the currently employed, while active job seekers are relegated to the hyper-competitive and impersonal “black hole” of the online job boards.
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Terry Nichols Clark, Dennis Merritt and Lenka Siroky
The International Mayor provides a quick but precise overview of mayors and their cities around the world. As the Fiscal Austerity and Urban Innovation (FAUI) Project is unique in…
Abstract
The International Mayor provides a quick but precise overview of mayors and their cities around the world. As the Fiscal Austerity and Urban Innovation (FAUI) Project is unique in its extensive coverage, so is this report.
Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are…
Abstract
Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require unconfoundedness (i.e., independence of potential outcomes and treatment assignment conditional on a set of observable covariates). When this assumption holds, researchers now have a wide array of estimation techniques from which to choose. However, very little is known about their performance – both in absolute and relative terms – when measurement error is present. In this study, the performance of several estimators that require unconfoundedness, as well as some that do not, are evaluated in a Monte Carlo study. In all cases, the data-generating process is such that unconfoundedness holds with the ‘real’ data. However, measurement error is then introduced. Specifically, three types of measurement error are considered: (i) errors in treatment assignment, (ii) errors in the outcome, and (iii) errors in the vector of covariates. Recommendations for researchers are provided.
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