Optimum government credibility in an open-economy fiscal expansion

A real open-economy model is constructed in which the government's commitment to a future fiscal expansion is not credible. Government credibility (measured by the growth rate of the probability that the expansion will occur) becomes a parameter of the system and appears directly in the eigenvalues. Simulations are performed demonstrating the effect of credibility on GNP, the exchange rate, and other variables. Lastly, the optimum credibility is determined which minimizes a loss function associated with deviations from full employment.     

Efficiency characteristics of a market for state contingent claims

This paper concludes that a market for state-contingent claims (UK horserace betting) displays evidence of pervasive but heterogeneous forms of inefficiency, in significant contrast to earlier investigations. Using hitherto unavailable data, comparison of notional returns implicit in parallel sets of bookmaker and parimutuel odds identifies inefficiency in terms of zones of distinct but contrasting forms of cross-;market returns differential. The inefficiency is rationalized in terms of both buyer and supplier behaviour; its durability is explained in terms of limited arbitrage opportunities.     

The effects of the BSE outbreak on the security values of US agribusiness and food processing firms

Economic studies using aggregate data generally find that higher taxes are the most effective policy to reduce drunk driving while criminologists report strong evidence supporting law enforcement measures in policy evaluations. This paper evaluates these differing perspectives using the aggregate data that is typically used in the economic literature. OLS and fixed effects models show that police can affect the probability of arrest for drunk driving and, in combination with evidence from DUI deterrence experiments, this suggests that the failure of economic models to detect deterrence reflects the lack of systematic and sustained police efforts against DUI.     

Discretionary and Non-Discretionary Revisions of Loss Reserves by Property-Casualty Insurers: Differential Implications for Future Profitability, Risk and Market Value

We develop and estimate a PC-industry specific model in which proxies for both discretion and non-discretion are used to partition loss reserve revisions into discretionary and non-discretionary components. The use of such proxies enables us to test directional hypotheses about the relations between the revision components and future profitability, risk and market value. We predict and find that discretionary revisions are negatively associated with future profitability, positively associated with firm risk, and negatively associated with market-to-book ratios. We predict and find that non-discretionary revisions are positively associated with future profitability and risk but are not associated with market-to-book ratios.     

A college athletics recruiting game to teach the economics of rent-seeking

The authors of this article describe an adaptation of the rent-seeking game by Goeree and Holt (1999) to the recruiting of athletes by NCAA Division I football and basketball teams. Students engage in an effort-based lottery, i.e., recruiting to sign a blue-chip prospect. The winner gets the prize—the player's marginal revenue product in excess of his grant in aid. Students recruit in three scenarios: by recruiting legally, by recruiting legally or with illegal bribes, and by offering wages to athletes in an auction. The authors demonstrate the game's use in a principles course, but it is easily adaptable to other courses. To aid instructors unfamiliar with sports and NCAA recruiting, they include a comprehensive lesson plan with suggested readings and multimedia.     

Return enhancement trading strategies for size based portfolios

Recent theoretical work suggests that definitions of market efficiency that allow for the possibility of time-varying risk-premia will generally lead to return sign predictability. Consistent with this theory, we show that a logit model based on the lagged value of the market risk premium is useful for successfully predicting the return sign for CRSP small decile portfolio returns, but not large ones. We additionally employ this model in market timing simulations of micro-cap mutual funds in which investment can actually be made. The results indicate that a market-timing strategy based on our return-sign forecasting model outperforms a buy-and-hold strategy for 13 of 14 micro-cap funds studied. On average, the buy-and-hold strategy produces an average compound return of 11.98% per annum versus an average of 16.60% for the market-timing strategy. Nevertheless, trading restrictions make the return-sign forecasting model more practical to employ by the micro-cap fund portfolio manager rather than the individual fund investor.

A resilience-based framework for evaluating adaptive co-management: Linking ecology, economics and society in a complex world

Adaptive co-management brings together collaborative and adaptive approaches in pursuit of sustainable resource use and social-ecological resilience. Enthusiasm for this management approach, however, is countered by recent critiques regarding outcomes. A lack of evidence from consistent evaluation of adaptive co-management further exacerbates this situation. This paper revisits the issue of evaluation in natural resource management and recasts it in light of complex adaptive systems thinking. An evaluative framework for adaptive co-management is developed which directs attention toward three broad components: ecosystem conditions, livelihood outcomes and process and institutional conditions. Scale-specific parameters are offered for each component to facilitate systematic learning from experience and encourage cross-site comparisons. Conclusions highlight the importance of systematically incorporating evaluation into the adaptive co-management process and recognize the challenge for resource agencies and researchers to shift from a conventional to a complex adaptive system perspective.     

Cost-effectiveness of combination daclatasvir-sofosbuvir for treatment of genotype 3 chronic hepatitis C infection in the United States

Background: A phase III trial evaluated the efficacy and safety of Daklinza (daclatasvir or DCV) in combination with sofosbuvir (SOF) for treatment of genotype (GT) 3 hepatitis C virus (HCV) patients.

Aim: This study evaluated the cost-effectiveness of DCV?+?SOF vs SOF in combination with ribavirin (RBV) over a 20-year time horizon from the perspective of a United States (US) payer.

Methods: A published Markov model was adapted to reflect US demographic characteristics, treatment patterns, costs of drug acquisition, monitoring, disease and adverse event management, and mortality risks. Clinical inputs came from the ALLY-3 and VALENCE trials. The primary outcome was the incremental cost-utility ratio. Life-years, incidence of complications, number of patients achieving sustained virological response (SVR), and the total cost per SVR were secondary outcomes. Costs (2014 USD) and quality-adjusted life years (QALYs) were discounted at 3% per year. Deterministic, probabilistic, and scenario sensitivity analyses were conducted.

Results: DCV?+?SOF was associated with lower costs and better effectiveness than SOF?+?RBV in the base case and in almost all scenarios (i.e. treatment-experienced, non-cirrhotic, time horizons of 5, 10, and 80 years). DCV?+?SOF was less costly, but also slightly less effective than SOF?+?RBV in the cirrhotic and treatment-naïve population scenarios. Results were sensitive to variations in the probability of achieving SVR for both treatment arms. DCV?+?SOF costs less than $50,000 per QALY gained in 79% of all probabilistic iterations compared with SOF?+?RBV.

Conclusion: DCV?+?SOF is a dominant option compared with SOF?+?RBV in the US for the overall GT 3 HCV patient population.     

Estimating Quality‐adjusted Price Changes: Method and Application to VCRs

This paper uses scanner data to generate estimates of quality‐adjusted price changes for video‐recorders. We use hedonic regressions to derive estimates of the changing worth of each quality component. These are then applied to weighted changes in the mix of quality attributes of products to derive estimates of quality‐adjusted price (QAP) changes. The data source used is electronic‐point‐of‐sale (EPOS) scanner data that are available for a wide range of goods. This study provides an example of how such methods can be more widely applied. The estimates of QAP changes correspond to constant‐utility, (hedonic) cost‐of‐living indexes defined in economic theory as the ratio of expenditure functions at constant utility allowing for changing prices and characteristics of goods. This method is proposed as an improvement on the existing direct method , which takes its estimates directly from the coefficients associated with 'time dummies' in a hedonic regression. We finally undertake a matching process, akin to that used by statistical offices, and compare the results. Direct comparisons with RPI estimates and these hedonic approaches are not easy since the approaches use quite different data sets. Our replication of a procedure akin to that used for the RPI on the scanner data set provides insights into sources of potential bias.     

AFFIRMATIVE ACTION IN COLLEGE ADMISSIONS: EXAMINING LABOR MARKET EFFECTS OF FOUR ALTERNATIVE POLICIES

A rancorous debate continues to rage over the use of affirmative action policies in college admissions. This article uses a simple signaling model to evaluate the labor market impacts of four types of affirmative action admissions policies. RacE-based preferential policies and policies guaranteeing admission based on high school academic rank may induce discrimination in labor markets when there exists strong heterogeneity in socioeconomic disadvantage within the underrepresented minority group. Under such conditions, it may also be difficult to realize ethnic diversity with disadvantagE-based preferential policies. The article argues instead for affirmative action policies emphasizing intensive college preparation for targeted groups.