Trade‐Induced Unemployment: The Case of Post‐Apartheid South Africa

This paper analyses the link between changes in trade flows and labour demand in post‐apartheid South Africa (1994–2006). Although this is not the first research with regard to this topic, it is one of the few that uses a consistent trade framework. Based on a three‐dimensional Heckscher–Ohlin trade model, a theoretical framework is constructed to analyse this link. Whereas it is impossible to test the theoretical link directly because of data limitations, an indirect econometric test supports the findings of the model. This implies that the combination of increased trade and labour market rigidities was unfavourable for labour opportunities.     

Sexual Harassments: Criteria for difining hostile enviorment

Sexual harassment in the workplace continues to be one of the most controversial and complex legal and ethical issues facing empolyers. The U.S. Supreme Court's June 1986 decisiion inMeitor Savings Bank v. Vinson, which applied Title VII of the Civil Reights Act to situations involving sexual harassment, is discussed. The Court's definition of hostile environment is reviwed, and federal court cases interpreting the Supreme Court's pronousncements are examined. The cases provide guidance on the kinds of situations that result in employer liability for sexual harassment. A primanry conclusion is that employers may easily avoid liability by exercising learned judgment and sound management practices.     

Revenue Effects of Tax Facilities for Pension Savings

Many countries have tax facilities for pension savings. These facilities are often associated with the application of the cash-flow treatment of pensions: pension contributions are tax-exempt, capital income of pension funds is tax-exempt, and pension benefits are taxed, but usually at a relatively low rate. This paper investigates the revenue effects of a cash-flow tax regime for pension savings by full present-value calculations. A comprehensive income tax system is used as a benchmark. We present an empirical analysis for the Netherlands as a typical example of a country with funded pensions. Our calculations show that current taxation of pensions implies a major tax revenue loss. For the year 2003, we estimate a fiscal pension subsidy of 1.4% to 1.5% of Gross Domestic Product (GDP).

Ex Ante Impact Assessment under Imperfect Information: Biotechnology in New Member States of the EU

Some argue that the lack of modern agricultural development in the former socialist countries of Central and Eastern Europe has made cutting‐edge biotechnology attractive. However, enthusiasm for planting genetically modified (GM) crops varies greatly in the enlarged European Union (EU) and especially among the New Member States (NMS); the Czech GM maize area is progressively growing whereas Hungary imposed a de facto ban on GM crops. Remarkably, the Hungarian ban was not supported by any cost–benefit assessment. In the literature, ex ante impact assessments of monopolistically priced technologies are often based on cross‐sectional comparisons of average cropping budgets. Such assessments ignore heterogeneity of farmers and underestimate the true impact of these technologies because of homogeneity bias. Therefore, we propose an improved method by explicitly modelling farmer heterogeneity under imperfect information, and assess the potential value and benefit sharing of GM crops in the two NMS using a stochastic partial equilibrium model. The total potential value of GM crops is estimated at €82 million for both countries, of which €60 million (73%) accrues to farmers and €22 million (27%) to the gene developers and the seed industry. This is in line with the literature on global benefit sharing of first‐generation GM technologies.     

School Staff Autonomy and Educational Performance: Within‐School‐Type Evidence

In this paper, we show the effect of school staff autonomy on educational performance. The value‐added compared to the existing body of literature is that we employ variation in autonomy within the same country and within the same school type in order to reduce the omitted variable problem. To fully capture the informational advantage of local actors, we define autonomy as the operational empowerment of the school's direction and teachers. The Flemish secondary school system in Belgium is analysed because it displays unique within‐school‐type variation in school staff autonomy. This variation originates from autonomously operating school governing bodies that can group multiple schools and are free to delegate responsibilities to the school staff. This variation is likely exogenous because it is mainly driven by approximately random variation in characteristics and composition of the school boards. Combining detailed school‐level and pupil‐level data from the Programme for International Student Assessment (PISA) 2006 study with a semi‐parametric hierarchical model, we find a strong positive effect of school staff autonomy on educational performance. The result is shown to be robust to problems of reverse causality and simultaneity.     

Time-varying Integration and International diversification strategies

This paper investigates the impact of globalization and integration on the relative benefits of country and industry diversification. Unlike previous models, our factor model allows asset exposures and volatilities to vary with both structural changes and temporary fluctuations in the economic and financial environment. First, we find that globalization and integration have lead to a gradual convergence of country to industry betas, especially in Europe. Second, the structurally-driven increase in market betas is accompanied by a gradual decrease in country-specific risk. Third, even though the edge has structurally decreased, geographical diversification continues being superior to industry diversification.     

Data accuracy's impact on segmentation performance: Benchmarking RFM analysis,logistic regression,and decision trees

Companies greatly benefit from knowing how problems with data quality influence the performance of segmentation techniques and which techniques are more robust to these problems than others. This study investigates the influence of problems with data accuracy – an important dimension of data quality – on three prominent segmentation techniques for direct marketing: RFM (recency, frequency, and monetary value) analysis, logistic regression, and decision trees. For two real-life direct marketing data sets analyzed, the results demonstrate that (1) under optimal data accuracy, decision trees are preferred over RFM analysis and logistic regression; (2) the introduction of data accuracy problems deteriorates the performance of all three segmentation techniques; and (3) as data becomes less accurate, decision trees retain superior to logistic regression and RFM analysis. Overall, this study recommends the use of decision trees in the context of customer segmentation for direct marketing, even under the suspicion of data accuracy problems.     

A Note on Building a Database on Russian Banks: Fieldwork Against the Odds

This note describes how I constructed a reliable database on Russian banks in early transition. I describe in detail data sourcing, data verification and the representativeness of the resulting database. The note makes available for research a database that captures the genesis of a commercial banking system and is therefore very interesting. Moreover, the note suggests that the availability of data in Russia might in practice be better than generally perceived. Often the data do exist, but it takes a lot of time and effort to find them and turn them into a user-friendly format. Mastering the Russian language and a fair portion of perseverance are a great help in this respect.