RECURRENCE RELATIONS FOR SINGLE AND PRODUCT MOMENTS OF GENERALIZED ORDER STATISTICS FROM PARETO,GENERALIZED PARETO,AND BURR DISTRIBUTIONS

We give recurrence relations for single and product moments of generalized order statistics under the concept of Kamps from Pareto, generalized Pareto and Burr distributions. The results include as particular cases the above relations for moments of k–th record values.     

Semiparametric Regression Estimation in Copula Models

We consider some methods of semiparametric regression estimation in multivariate models when the common distribution function is represented using a copula and the marginals satisfy a generalized regression model using a transfer functional. Sufficient conditions for consistency and joint asymptotic normality of the finite-dimensional parameters are obtained.     

特许经营网中的知识源与组织知识转移

知识源在组织知识转移过程中扮演着重要角色。在特许经营网中，产生和传播新知识的主体即知识源能有效地影响着组织知识转移。本文在分析影响组织知识转移的知识源模型基础上，指出知识源的能力、可信度、动机及其在特许经营网络中的竞争程度等对组织知识的转移都会产生影响；通过案例分析，进一步得出，增强知识源的能力、信任以及切实维护网络成员利益，有利于促进特许经营网中的知识转移。     

Measuring the Precision of Statistical Cost Allocations

This article examines the use of regression analysis for allocating indirect costs. When multiple regression is used to estimate the weights of several allocation factors, conventional standard errors and correlation coefficients can be misleading with respect to the statistical precision of the cost allocations. This article develops alternative allocation approaches and measures of precision that use linear prediction theory and Bayesian inference. The proposed methods are illustrated using a university indirect cost study.     

Trust and Terrorism: Citizen Responses to Anti‐Terrorism Performance History

The “intuitive detection theorists” model of trust posits greater trust for correctly distinguishing danger from safety and an activist response under uncertainty about danger. An American sample evaluated U.S. Department of Homeland Security (DHS) performance after two possible terrorism events in which DHS has the same activist or nonactivist response bias. Outcomes were two successes (bombing prevented or lack of threat accurately foretold), two failures (bombing or DHS action against high school prank leads to student deaths), or a mix. Hindsight empathy (a belief one would have made the same decision) differed across treatments but trust less so; contrary to a similar one‐event experiment in Germany, an active but incorrect response did not raise trust relative to passive incorrect action. Political conservatives were much more trusting and empathetic than liberals, and all ideological groups (including moderates) exhibited little internal variation reflecting experimental conditions. Consistently accurate outcomes rated significantly higher in empathy than either inconsistent results or consistent inaccuracy (the lowest rated); trust exhibited no significant differences. Results in this study show actual (experimentally manipulated) performance being trumped by the interpretive screen of political ideology, but this seemed less the case in the earlier German study, despite its finding of a strong moderating effect of right‐wing authoritarianism. Trust scholars need to attend more to effects of performance history (i.e., a sequence of events) and their limiting factors. More systematic testing of effects of ideology and performance history would enhance future research on trust.     

Identification of Salmonella high risk pig-herds in Belgium by using semiparametric quantile regression

Summary.  Consumption of pork that is contaminated with Salmonella is an important source of human salmonellosis world wide. To control and prevent salmonellosis, Belgian pig-herds with high Salmonella infection burden are encouraged to take part in a control programme supporting the implementation of control measures. The Belgian government decided that only the 10% of pig-herds with the highest Salmonella infection burden (denoted high risk herds) can participate. To identify these herds, serological data reported as sample-to-positive ratios (SP-ratios) are collected. However, SP-ratios have an extremely skewed distribution and are heavily subject to confounding seasonal and animal age effects. Therefore, we propose to identify the 10% high risk herds by using semiparametric quantile regression with P -splines. In particular, quantile curves of animal SP-ratios are estimated as a function of sampling time and animal age. Then, pigs are classified into low and high risk animals with high risk animals having an SP-ratio that is larger than the corresponding estimated upper quantile. Finally, for each herd, the number of high risk animals is calculated as well as the beta–binomial p -value reflecting the hypothesis that the Salmonella infection burden is higher in that herd compared with the other herds. The 10% pig-herds with the lowest p -values are then identified as high risk herds. In addition, since high risk herds are supported to implement control measures, a risk factor analysis is conducted by using binomial generalized linear mixed models to investigate factors that are associated with decreased or increased Salmonella infection burden. Finally, since the choice of a specific upper quantile is to a certain extent arbitrary, a sensitivity analysis is conducted comparing different choices of upper quantiles.     

A No-Trade Theorem under Knightian Uncertainty with General Preferences

This paper derives a no-trade theorem under Knightian uncertainty, which generalizes the theorem of Milgrom and Stokey (1982, Journal of Economic Theory 26, 17) by allowing general preference relations. It is shown that the no-trade theorem holds true as long as agents' preferences are dynamically consistent in the sense of Machina and Schmeidler (1991, Econometrica 60, 745), and satisfies the so-called piece-wise monotonicity axiom. A preference satisfying the piece-wise monotonicity axiom does not necessarily imply the additive utility representation, nor is necessarily based on beliefs. This revised version was published online in June 2006 with corrections to the Cover Date.     

On distributions Of generalized order statistics

In a wide subclass of generalized order statistics, representations of marginal density and distribution functions are developed. The results are applied to obtain several relations, such as recurrence relations, and explicit expressions for the moments of generalized order statistics from Pareto, power function and Weibull distributions Moreover, characterizations of exponential distributions are shown by means of a distributional identity as well as by* an identity of expectations involving a subrange and a corresponding generalized order statistic.     

On the Relation Between Trust and Fairness in Environmental Risk Management

In this study, we empirically examine the relations between trust, fairness, and cooperation within two environmental risk management contexts, one in which the focal issue is of high personal moral importance and the other in which the focal issue is of low moral importance. Using an experimental design embedded in two parallel survey questionnaires, one mailed to residents of Washington State, the other to German‐speaking residents of Switzerland, we either manipulated or constructed three factors, issue importance (high/low), procedural fairness (fair/unfair), and policy outcome (risk averse/risk accepting). This design enabled us to compare the predictions of the standard account of procedural fairness, that trust and cooperation are determined by judgments of fairness, with the predictions of an alternative account, that trust and cooperation will be determined by judgments of procedural fairness only when the issue involved is not morally important. Results for the American case showed that under conditions of high issue importance, policy outcome affected judged fairness, trust, and cooperation. Under conditions of low issue importance, policy outcome had no effect on judged fairness or trust but did have a moderate impact on cooperation. Analyses also showed that when issue importance was high, procedural fairness had no effects. When issue importance was low, procedural fairness had moderate effects on judged fairness and trust. Results for the Swiss case replicated the main findings for the American case. Together, these results support the alternative model of the relation between trust and fairness, suggesting that the efficacy of fair procedures is strictly limited.     

GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study

We examine alternative generalized method of moments procedures for estimation of a stochastic autoregressive volatility model by Monte Carlo methods. We document the existence of a tradeoff between the number of moments, or information, included in estimation and the quality, or precision, of the objective function used for estimation. Furthermore, an approximation to the optimal weighting matrix is used to explore the impact of the weighting matrix for estimation, specification testing, and inference procedures. The results provide guidelines that help achieve desirable small-sample properties in settings characterized by strong conditional heteroscedasticity and correlation among the moments.