Corruption, Political Competition and Environmental Policy

There is a growing literature on the causes and consequences of corruption. A common and often unsubstantiated assertion is that countries which exhibit a low level of political competition are more likely to suffer higher levels of corruption. In this paper we examine the effects of corruption on environmental policy under varying degrees of political competition. An important feature of the model, which has been neglected in the existing literature, is that corruption may occur at different levels of government, such as the payment of bribes to politicians who determine policies, or bureaucrats who administer environmental regulations. We analyse the relationship between political competition and environmental outcomes in a model of stratified corruption and identify the benefits and limits of political competition. Our results suggest that while political competition may yield policy improvements, it cannot eliminate corruption at all levels of government.corruption, lobbying, political competition, regulatory compliance, bribery

Bidding for Sport Mega-Events

Sport mega-events such as the Olympic Games and FIFA World Cup, or on a smaller scale the Commonwealth Games or regional events, attract competing bids from nations or cities. These bids are mostly made at tax-payers? expense and spending is often large and non-transparent. Our paper addresses the question of why large sums of public money are spent in an attempt to secure uncertain rights to host events which, according to ex post studies, often yield few gains. The paper analyses the economics of the bidding process, emphasising public choice aspects of mega-event bidding to identify the interaction of potential beneficiaries and policymakers' interests. We do not directly enter debates about legacies of hosting mega-events, but ask why public money is spent on a bidding process which is even less likely to realize net social benefits. The empirical part of the paper uses past bids from the state of South Australia, a demonstrated bidder for various sports mega (or not so mega-) events with a mixed record of success, as a case study of the economics of bidding.bidding, sports

On t -designs

Introduction and preliminaries An incidence structure is a triple S=(X, <J,9 S} where X and JL are disjoint sets andc^ci^fX^?. Elements x^X are called points and elements A^JL are called blocks of S. A point x and a block ^4 are incident iff (#, ^4)ec?. For any block A, (A) will denote the set of points incident with A

The theory of discovering rare variants via DNA sequencing

<p>Abstract</p> <p>Background</p> <p>Rare population variants are known to have important biomedical implications, but their systematic discovery has only recently been enabled by advances in DNA sequencing. The design process of a discovery project remains formidable, being limited to <it>ad hoc </it>mixtures of extensive computer simulation and pilot sequencing. Here, the task is examined from a general mathematical perspective.</p> <p>Results</p> <p>We pose and solve the population sequencing design problem and subsequently apply standard optimization techniques that maximize the discovery probability. Emphasis is placed on cases whose discovery thresholds place them within reach of current technologies. We find that parameter values characteristic of rare-variant projects lead to a general, yet remarkably simple set of optimization rules. Specifically, optimal processing occurs at constant values of the per-sample redundancy, refuting current notions that sample size should be selected outright. Optimal project-wide redundancy and sample size are then shown to be inversely proportional to the desired variant frequency. A second family of constants governs these relationships, permitting one to immediately establish the most efficient settings for a given set of discovery conditions. Our results largely concur with the empirical design of the Thousand Genomes Project, though they furnish some additional refinement.</p> <p>Conclusion</p> <p>The optimization principles reported here dramatically simplify the design process and should be broadly useful as rare-variant projects become both more important and routine in the future.</p

Statistical aspects of discerning indel-type structural variation via DNA sequence alignment

<p>Abstract</p> <p>Background</p> <p>Structural variations in the form of DNA insertions and deletions are an important aspect of human genetics and especially relevant to medical disorders. Investigations have shown that such events can be detected via tell-tale discrepancies in the aligned lengths of paired-end DNA sequencing reads. Quantitative aspects underlying this method remain poorly understood, despite its importance and conceptual simplicity. We report the statistical theory characterizing the length-discrepancy scheme for Gaussian libraries, including coverage-related effects that preceding models are unable to account for.</p> <p>Results</p> <p>Deletion and insertion statistics both depend heavily on physical coverage, but otherwise differ dramatically, refuting a commonly held doctrine of symmetry. Specifically, coverage restrictions render insertions much more difficult to capture. Increased read length has the counterintuitive effect of worsening insertion detection characteristics of short inserts. Variance in library insert length is also a critical factor here and should be minimized to the greatest degree possible. Conversely, no significant improvement would be realized in lowering fosmid variances beyond current levels. Detection power is examined under a straightforward alternative hypothesis and found to be generally acceptable. We also consider the proposition of characterizing variation over the entire spectrum of variant sizes under constant risk of false-positive errors. At 1% risk, many designs will leave a significant gap in the 100 to 200 bp neighborhood, requiring unacceptably high redundancies to compensate. We show that a few modifications largely close this gap and we give a few examples of feasible spectrum-covering designs.</p> <p>Conclusion</p> <p>The theory resolves several outstanding issues and furnishes a general methodology for designing future projects from the standpoint of a spectrum-wide constant risk.</p