The Increasing Competitive Balance in Major League Baseball

This paper explores the changing competitive balance in Major League Baseball through the relative-entropy measure of information theory. It is shown that while competitive balance in both leagues has been on an upward path during the 20th century, the path has had numerous detours that resulted from some on-the-field and some off-the-field changes that Major League Baseball has undergone during the past 75 years. The most important detours occurred in the wake of the Black Sox scandal of 1919, Jackie Robinson's breaking the color barrier and the concurrent spread of television and erosion of the minor leagues, franchise moves and major league expansion, and free agency.     

Contests, NGOs, and Decentralizing Aid

International donors usually have particular goals they want to achieve with their foreign aid, e.g., poverty alleviation. In the international aid story lobbying by potential recipient groups attempting to capture the donor's support plays a potentially important role for non‐governmental organizations. We model this situation as a hierarchical contest and compare the implications of a centralized allocation process with a decentralized allocation process with non‐governmental organizations as intermediaries.     

Self-Employment and Wage Earning in Hungary

This paper examines the earnings determinants of the self‐employed and wage earners in Hungary in the mid‐1990s, taking into account two forms of selection: selection into working or non‐working for every individual in its sample and selection into self‐employment or wage‐earning jobs for workers only. Previous studies use switching regression to examine the returns to individual characteristics, taking into account only selection into self‐employment or wage‐earning jobs. The authors find that the estimated returns to individual characteristics when accounting for both forms of selection, differ from estimates correcting for only selection into self‐employment or wage‐earning jobs. They also find that the earnings determinants of the two sectors are not significantly different from each other.     

An accountability framework for financial statement auditors and related research questions

We address the following overarching questions: What kind of accountability framework could regulators use to (a) motivate auditors to improve audit quality, and (b) evaluate how well auditors have carried out their duties? We draw on research in accounting, economics, psychology, and neuroscience to critique the accountabilities, incentives, and learning opportunities embedded in auditors’ extant regulatory environment. We first establish that forward-looking estimates are the basis for most financial statement information and that some of these estimates are highly uncertain, which increases the challenges faced by auditors. We propose an accountability framework with two dimensions: rewards versus penalties and processes versus outcomes. We show that auditors’ current regulatory accountabilities generally are in the form of penalties rather than rewards and primarily depend on audit outcomes rather than attributes of auditors’ judgment processes. We provide evidence from a range of disciplines that questions the suitability of the present system for improving the quality of auditors’ judgments and the quality of evaluations of those judgments made by inspectors. We identify four potential changes for improvement in audit quality based on our framework. Each of these identified changes has an impact on one or both of the two dimensions in our framework. For each of these changes, we outline JDM research questions that could be addressed to inform our overarching questions and to provide empirical evidence to help refine our accountability framework and improve audit quality.     

The value of health interventions: evaluating asthma case management using matching

Despite large public investments in asthma interventions, there are few rigorous assessments of these programmes and little understanding of what comprises an effective intervention. There is a lack of appropriate data, little technical support is provided, and the programs themselves have little incentive to conduct these analyses. In this study, we apply optimal full matching using propensity scores to estimate the impact of an asthma intervention programme across a range of health outcomes. Our participation model is derived using the Deletion, Substitution and Addition (DSA) algorithm, a method used in epidemiology for model selection. We find that the asthma programme in question has no significant effect on participants that distinguishes them from matched nonparticipants, but it is not clear whether this is due to the effectiveness of the programme, heterogeneity of effects or barriers outside the programme's control. Our findings do show how current programmes could be modified to increase their effectiveness and better inform future research.