Means-Testing the Child Benefit

Improving the distributional impact of transfers may be costly if it reduces labor supply. In this paper we show how effects of changes in the design of the child benefit program can be examined by employing information from behavioral and non-behavioral simulations on micro data. The direct distributional effects are assessed by tax-benefit model calculations, while female labor supply responses to alternative child benefit schemes are simulated under the assumption that choices are discrete. Distributional effects after labor supply responses are also shown. The study confirms that greater targeting of the child benefit is traded against reductions in female labor supply.     

EVIDENCE ON THE RELATIONSHIP BETWEEN ECONOMICS AND CRITICAL THINKING SKILLS

This research provides empirical support for the hypothesis that learning economics increases a student's critical thinking skills. Using the short form of the Watson-Glaser Critical Thinking Appraisal (WGCTA-S) as our measure of critical thinking skills, we find that students who gain a high level of economic understanding in their introductory economics class, as measured by the Test of Understanding College Economics (TUCE), have statistically significant gains in their WGCTA-S scores. Students who spend more time taking classes and are more fully engaged in the university experience also have greater gains in critical thinking. These results lend support to the idea that introductory economics courses can work in concert with other university level courses, especially within the context of a full-time curriculum, to enhance critical thinking skills. ( JEL A22)     

Charges in the Industrial Water Sector: Comparison Between Ireland and Spain

The European Treaty supports the application of the polluter pays principle in all environmental policies including the Water Framework Directive. This paper assesses the efficiency of water-charging systems in two European regions. The regions examined are the South west region of Ireland and the Navarre region in Spain which were selected because they are similar in terms of economic indicators but different in terms of water pricing structures. The paper describes the development and application of a simple model to analyse data on water-charging systems from these two regions. We present the results of a detailed scenario-based investigation illustrating the differences between experience, composition and basis, impact and constraints on the application of water charges for both regions. The key findings are that existing water charges do not provide incentives for users to use water efficiently and thereby do not contribute effectively to the environmental objectives of the Water Framework Directive.     

The legal challenge to ERISA preemptions

Managed care, once celebrated as a vehicle to halt the increasing cost of health care, has come under increasing fire from patients and health care providers, accused of cutting costs and managing care at the expense of patients. The Employee Retirement Income Security Act of 1974 (ERISA) has been a shield for managed care organizations (MCOs), buffeting them from liability for quality-of-care issues. Lawsuits and legislation are chipping away at the protective shield of ERISA as MCOs find themselves more liable for their decisions and for the care provided by physicians with whom the MCO contracts and provides financial incentives for controlling cost of medical care.     

Functions of innovation systems as a framework to understand sustainable technological change: Empirical evidence for earlier claims

Understanding the emergence of innovation systems is recently put central in research analysing the process of technological change. Especially the key activities that are important for the build up of an innovation system receive much attention. These are labelled ‘functions of innovation systems’. This paper builds on five empirical studies, related to renewable energy technologies, to test whether the functions of innovation systems framework is a valid framework to analyse processes of technological change. We test the claim that a specific set of functions is suitable. We also test the claim made in previous publications that the interactions between system functions accelerate innovation system emergence and growth. Both claims are confirmed.     

“A GEM” for increasing the effectiveness of diversity training

Questions about diversity training's utility and effectiveness remain despite its widespread use and the significant investments many firms make in such training. As a result, some HR practitioners have doubts about its relevance in the workplace. In this paper, we envision a future state of diversity training whereby diversity is embedded into work practices and programs through direct knowledge transfer, continuous skill development, and accountability for learning. We recommend four specific guidelines that HR leaders can follow to achieve this “future state” called A.G.E.M.—Approach, Goals, Executive Commitment, and Mandatory Attendance. We suggest that following the A.G.E.M. approach will lead to the kind of transformative behavioral changes required for effective diversity training programs.     

On corporate structure,strategy, and performance: a study with directed acyclic graphs and PC algorithm

This paper reconsiders empirical evidence on relationships among variables related to corporate strategy, structure, and performance. Causal relationships among variables are modeled as directed acyclic graphs using PC‐algorithm. Return on Assets appears to be determined by Advertising Intensity, Unrelated Diversification, R&D Intensity, and Organizational Ownership Hierarchy. Debt Structure and Investor Characteristics do not cause (either directly or indirectly) return on assets. These latter two variables appear to be effects of return on assets, not causes. Results offer mixed support of the theory that structure causes strategy, which in turn causes performance. Copyright © 2009 John Wiley & Sons, Ltd.     

Monte Carlo theoretical trials of methods for assessing statistical significance for differences between adjusted odds ratios

Odds are generally defined as the number of successes divided by the number of failures in a given number of trials. An odds ratio is the ratio of one odds divided by another. Odds ratios can be adjusted to reflect associations with the outcome independently of the influence of associations with other variables. These are adjusted odds ratios. There are several well known methods for comparing odds ratios and testing for statistically significant differences between them. Analogous methods for adjusted odds ratios are not well known or well documented. One method for comparing adjusted odds ratios is explained by Hosmer and Lemeshow (Applied logistic regression, 2000). This method is used for the odds ratios for two variables from the same data set. The purpose of this analysis was to apply this method to a different situation: comparing odds ratios for the same variable from two different data sets. Monte Carlo trials were used to assess the performance of the method and these indicated the method performed well.