司法权的本义

一般观点认为,是"马伯里诉麦迪逊"一案创设了司法审查权.本文批驳了这一观点.尽管宪法中没有关于司法审查权的明确规定,但是通过对宪法缔造者们在制宪会议、州批准会议上以及批准之后的实际言论的原意主义解释的分析,无可辩驳的结论是,司法权的本义中包括了司法审查权."马伯里诉麦迪逊"一案只是将这一本义更加清晰地揭示出来.     

Algorithms for handling soft constraints and their applications to staff scheduling problems

This paper presents a new model for dynamically deciding when, how, and to what extent soft constraints should be relaxed. The first part of the model is a depth-first search algorithm and a best-first repair algorithm which can generate partial schedules quickly. The second part is an iterative relaxation algorithm which can augment the generated partial schedules by slightly relaxing potentially relaxable constraints (i.e. soft constraints). The model guarantees that (1) a soft constraint will be relaxed only when no backtrack (repair) can be made within a time limit, (2) the relaxation of soft constraints can always deepen the search tree, and (3) the relaxation will only be made at dead nodes, and when the search algorithm can be continued the relaxed soft constraints will return to their initial states. The model has been successfully applied to two staff scheduling problems, dispatcher scheduling problem and crew scheduling problem. Copyright © 1999 John Wiley & Sons, Ltd.     

Untere Einkommensgruppen noch gezielter entlasten

Wirtschaftsdienst - Prices for energy and food are currently rising extraordinarily sharply. Households with low net incomes in particular are being burdened by the price increases, in some cases...     

Director overconfidence

We examine overconfident chief executive officer (CEO) directors and find they attend more board meetings, are more likely to serve on the nominating or the compensation committee, have more independent directorships, and foster higher attendance rates on boards. Boards with overconfident directors are more likely to appoint a better prepared and more reputable CEO following a turnover. These newly appointed CEOs are also more likely to be overconfident. This evidence indicates overconfident CEO directors exhibit significant influence on the board and over the firm's CEO selection.     

Risk Management Case Project

Case projects are valuable tools for teaching risk management and insurance (RMI). This article describes a flexible case study approach that can be used as a comprehensive capstone project for the RMI major or in modules for graduate and undergraduate RMI courses. The project incorporates both fundamental RMI concepts and emerging trends in the field. The use of the case project provides benefits to both students and the RMI program, especially given the increasing pressure for assessment in college curricula.     

Estimating returns to soil conservation adoption in the northern Ethiopian highlands

Land degradation in the form of soil erosion and nutrient depletion presents a threat to food security and sustainability of agricultural production in many developing countries. Governments and development agencies have invested substantial resources to promote soil conservation practices as part of an effort to improve environmental conditions and reduce poverty. However, limited rigorous empirical work has been done on the economics of soil conservation technology adoption. This article investigates the impact of stone bunds on value of crop production per hectare in low and high rainfall areas of the Ethiopian highlands using cross-sectional data from more than 900 households, with multiple plots per household. We have used modified random effects models, stochastic dominance analysis (SDA), and matching methods to ensure robustness. The parametric regression and SDA estimates are based on matched observations obtained from the nearest neighbor matching using propensity score estimates. This is important, because conventional regression and SDA estimates are obtained without ensuring that there actually exist comparable conserved and nonconserved plots on the distribution of covariates. We use matching methods, random effects, and Mundlak's approach to control selection and endogeneity bias that may arise due to correlation of unobserved heterogeneity and observed explanatory variables.
We find that the three methods tell a consistent story. Plots with stone bunds are more productive than those without such technologies in semi-arid areas but not in higher rainfall areas, apparently because the moisture conserving benefits of this technology are more beneficial in drier areas. This implies that the performance of stone bunds varies by agro-ecology type, suggesting the need for designing and implementing appropriate site-specific technologies.     

Logistics Information System Evaluation: Assessing External Technology Integration and Supporting Organizational Learning

Firms often outsource the development and acquisition of logistics information systems (LIS) needed to improve logistics processes. Managers tasked with such outsourcing decisions often struggle to understand and balance the external technology's impact on existing logistics processes, individual stakeholders, firm strategies, and the financial and operational performance of the firm. Unfortunately, research is limited on (1) methods for evaluating the performance capabilities of systems from external sources prior to full implementation, and (2) the impact of external technology integration (ETI) on organizational behavior and learning related to a firm's logistics processes. Through the lens of organizational learning (OL) theory, this research uses a case study approach to examine the transportation division of a major U.S.‐based fuel retailer to gain insights on the management control of ETI efforts. The study builds theory to fill important literature gaps then develops a conceptual framework and supporting propositions to inform future research on logistics ETI. The findings highlight important OL implications for firms involved in ETI efforts and also provide a practically relevant management control tool that can be used by logistics practitioners.     

An Empirical Investigation of Herding Behavior in the U.S. REIT Market

Our study investigates the market-wide herding behavior in the U.S. equity REIT market. Utilizing the quantile regression method, we find that herding is more likely to be present in the high quantiles of the REIT return dispersion. This implies that REIT investors tend to herd under turbulent market conditions. Our results also support the asymmetry of herding behaviors, that is, herding is more likely to occur and becomes stronger in declining markets than in rising markets. In addition, our findings show that the current financial crisis has caused a change in the circumstances under which herding can occur, as we find that during the current crisis REIT investors may not start to herd until the market becomes extremely turbulent whereas during the relatively normal period before the crisis, investors tend to herd when the market is moderately turbulent. Finally, we find that compared with the case of the ‘pre-modern’ era, REIT investors are more likely to herd in the ‘modern’ era, during which herding usually occurs when the market becomes tumultuous. This implies that the switch of REITs from passive externally managed entities into active self-managed ones has made the investors more responsive to market sentiment.     

An Examination of Adverse Selection in the Public Provision of Insurance

Using a unique data set from Florida's residual property insurer, we test for adverse selection in the public provision of homeowners’ insurance in Florida. We find a significant relationship between the losses and deductible choices of insureds in Florida's residual homeowners’ insurance market. This relationship provides strong evidence of the existence of an adverse selection problem in Florida's residual property insurance market. While this relationship is important to Florida regulators (and taxpayers) specifically, a finding of an adverse selection problem in residual markets in general has implications more broadly for government providers of insurance as an adverse selection problem in these settings will impact the public policy debates and decisions involving these markets.     

Understanding the Structure of Canadian Farm Incomes in the Design of Safety Net Programs1

The effectiveness of safety net programs in meeting their purpose depends implicitly on the nature of farm profitability distributions. This study provides an empirical characterization of farm operating profit distributions and assesses the implications for Canadian safety net programs. Pooled time series data from the Statistics Canada Tax Data Program and the Farm Financial Survey is queried across a range of farm types and provinces, with quartile distributions of Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) within four farm‐size categories analyzed. The results show that regardless of farm type or province, there is greater variation in operating profit within a sales category than there is across the sales categories, and that the range in operating profit increases with size, revealing some very profitable small farms and unprofitable large farms. Thus, the discussion of the social value of farm stabilization programs ought not to be focused on farm size alone. L'efficacité avec laquelle les programmes de protection du revenu atteignent leurs objectifs dépend implicitement de la nature des distributions de probabilités des fermes. La présente étude établit une caractérisation empirique des distributions du bénéfice d'exploitation agricole et évalue les répercussions sur les programmes de protection du revenu au Canada. Des données chronologiques tirées du Programme des données fiscales (PDF) et de l'Enquête financière sur les fermes (EFF) de Statistique Canada sont totalisées par type de ferme et par province, y compris des distributions par quartile du résultat avant intérêts, impôts et dotations aux amortissements (EBITDA) de quatre catégories de taille de ferme. Les résultats ont montré que, sans égard au type de ferme ou à la province, la variation du bénéfice d'exploitation au sein d'une même catégorie de ventes était supérieure à la variation du bénéfice d'exploitation observée entre les différentes catégories de ventes et que l'étendue du bénéfice d'exploitation augmentait avec la taille, révélant des fermes de petite taille très rentables et des fermes de grande taille non rentables. Par conséquent, la discussion sur la valeur sociale des programmes de stabilisation du revenu agricole ne devrait pas s'appuyer sur la taille de la ferme uniquement.