Who are these people? Personality traits and judgments about trade secret misappropriation in post‐employment activities

Trade secret theft is a problem that almost all organizations face. The greatest threat is employee mobility and potential unethical post‐employment behavior. This study investigates the role of individual personality traits in judgments about trade secret misappropriation. Our hypotheses were tested in three studies addressing three different situational contexts: current employees, employees about to be laid off, and students who had quit their job. Relationships were estimated with robust regression. The results show that some personality traits predict judgment about another person's trade secret misappropriation, and that the situational context in which individuals formulate their ethical judgment moderates the impact of personality traits on ethical judgment.     

Dynamic redistribution of mitigation resources during influenza pandemics

The Institute of Medicine (IOM) has pointed out that the existing pandemic mitigation models lack the dynamic decision support capability. In this paper, we present a simulation optimization model to generate dynamic strategies for distribution of limited mitigation resources, such as vaccines and antivirals, over a network of regional outbreaks. The model has the capability to redistribute the resources remaining from previous allocations in response to changes in the pandemic progress. The model strives to minimize the impact of ongoing outbreaks and the expected impact of potential outbreaks, considering measures of morbidity, mortality, and social distancing, translated into the societal and economic costs of lost productivity and medical services. The model is implemented on a simulated H5N1 outbreak involving four counties in the state of Florida, U.S. with over four million inhabitants. The performance of our strategy is compared to that of a myopic distribution strategy. Sensitivity analysis is performed to assess the impact of variability of some critical factors on policy performance. The methodology is intended to support public health policy on effective distribution of limited mitigation resources.     

Restructuring the public sector: examples from the Swedish School Administration Board

This research note begins with a discussion of recent changes in the Swedish labour market, with special reference to employment changes in the public sector from a gender perspective. These changes are illustrated with a discussion of results from a study of the closing of the National Board of School Administration, an agency with a high proportion of women on its staff. Changes are compared to observations made during the restructuring of the industrial sector. The research note concludes with a short discussion on employment trends for the future, with special reference to the importance of the public sector.     

Estimation of physical intensity models for default risk

The estimation of physical intensity processes in the context of default risk is investigated here. Using data from Moody's Corporate Bond Default Database, a term structure of default probabilities for different rating classes is constructed each year from 1970 to 2001. Two specifications used for modeling the dynamics of the (risk‐neutral) intensity process in the bond‐pricing literature are then examined empirically: the Ornstein–Uhlenbeck and square‐root cases. The results reveal that the Ornstein–Uhlenbeck case is not an adequate modeling alternative with a rejection of this specification in five out of seven credit classes and nonsignificant mean reverting behavior for all credit classes. The square‐root case obtains better results with four credit classes out of seven for which this specification cannot be rejected and significant mean reversion parameters in many cases. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 29:95–113, 2009     

Modelling the spot prices of various coffee types

We investigate long-run relationships among the spot prices of four coffee types. Two cointegrating vectors emerge: one between the prices of Arabica coffee varieties, and the other one between Unwashed Arabicas and Robusta. A persistence profile analysis shows a more rapid adjustment to equilibrium for the first compared to the second vector due to the fact that the former involves the Arabica coffees, which are more homogeneous. Adjustment is relatively fast, implying that economic forces act rapidly and discrepancies in the equilibrium relationships are short-lived. We also find evidence of non-linear adjustment back to equilibrium; when prices are too high, adjustment takes place at a slower rate than when they are too low.     

Interpretation problems of the partial correlation with nonnormally distributed variables

The partial correlation is a commonly used measure for assessing the bivariate correlation of two quantitative variables after eliminating the influence of one or more other variables. The partial correlation is generally interpreted as the correlation that would result if the variables to be eliminated were fixed (not allowed to vary and influence the other variables), which is referred to in the statistical literature as conditional correlation. The present paper demonstrates, by means of theoretical derivations and practical examples, that when the assumption of multivariate normality is violated (e.g., as a result of nonlinear relationships among the variables investigated) the usual interpretation of the partial correlation coefficient will be basically incorrect. In extreme cases the value of the partial correlation coefficient may be strongly positive, close to 1, whereas the conditional correlation may have a large negative value. To solve this problem the paper suggests to partial out a certain function (in most cases the square) of the variables whose effects are to be eliminated if nonlinear relationships are likely to occur.     

Do employment subsidies work? Evidence from regionally targeted subsidies in Turkey

This paper studies the effects on registered employment and number of registered establishments of two employment subsidy schemes in Turkey. We implement a difference-in-differences methodology to construct appropriate counterfactuals for the covered provinces. Our findings suggest that both subsidy programs did lead to significant net increases in registered jobs in eligible provinces (5%–13% for the first program and 11%–15% for the second). However, the cost of the actual job creation was high because of substantial deadweight losses, particularly for the first program (47% and 78%). Because of better design features, the second subsidy program had lower, though still significant, deadweight losses (27%–46%). Although constrained by data availability, the evidence suggests that the dominant effect of subsidies was to increase social security registration of firms and workers rather than boosting total employment and economic activity. This supports the theory that in countries with weak enforcement institutions, high labor taxes on low-wage workers may lead to substantial incentives for firms and workers to operate informally.