On the inefficiency of European socialist economies

This paper aims at comparing macroeconomic performance of three European socialist economies (Hungary, Poland, Yugoslavia) with developing and developed countries during the 1970s and the 1980s. Using panel data for 89 countries, we measure macroeconomic performance with two panel data production frontier models: the WITHIN model proposed by (Cornwell et al J Econom 46:185–200, 1990), and the firm effects model developed by (Battese and Coelli J Prod Anal 3:153–169, 1992). We conclude in favor of the underperformance of socialist countries in relation to developed countries but also to developing countries in most cases, which may be explained by the features of the socialist economic system.

EMAC Distinguished Marketing Scholar 2012: Respect the data!

Consumer research suffers from a lack of respect for data. Researchers routinely fail to report full experiments that do not produce expected results and often eliminate alleged “outliers” on the basis of inappropriate rules, leading to biased test reports. Scholars appear to be relying less on non-experimental data, even as the serious limitations of experimental data may create structural discrepancies with the other, non-experimental cases of a phenomenon or process, such that it becomes impossible to study some major consumer phenomena. The lessons from empirical data get accepted only when they can be described as confirming preexisting conceptual frameworks. This article presents an extensive analysis of multiple forms of a lack of respect for the data and proposes some remedies. Overall, data should never play a subordinate part.     

PORTFOLIO OPTIMIZATION UNDER TRACKING ERROR AND WEIGHTS CONSTRAINTS

The performance of active portfolio managers who must comply with a weights constraint is often assessed against a benchmark. The weights constraint is common as the funds are committed by their own prospectus to a minimum (or maximum) portfolio concentration. We characterize the optimal asset allocation and analyze the implications of the weights constraint on the manager's performance and on the relevance of the information ratio. We obtain that because of the weights constraint, at the optimum, the information ratio often decreases when the manager is free to deviate more from the benchmark.     

REGULATION OF POLLUTION IN THE LABORATORY: RANDOM INSPECTIONS,AMBIENT INSPECTIONS,AND COMMITMENT PROBLEMS

We compare experimentally a traditional random inspection policy and a variant where the agency may carry out a preliminary inspection of the level of ambient pollution before implementing any individual inspection. Since the agency may have an incentive to announce high inspection probabilities and then secretly renege on its announcement to avoid implementing costly inspections, we are also interested in the agency's commitment power. We find that overall, ambient inspections increase efficiency but the effect is weaker than expected when the agency has no commitment power; and polluters' reactions to the lack of commitment power of the agency vary depending on whether the agency uses ambient inspections or not.     

A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting

Studies of improved seed adoption in developing countries are almost always based on household surveys and are premised on the assumption that farmers can accurately self-report their use of improved seed varieties. However, recent studies suggest that farmers’ reports of seed varieties planted, or even whether the seed is local or improved, are sometimes inconsistent with the DNA fingerprinting results of those crops. We use household survey data from Tanzania to test the alignment between farmer-reported and DNA-identified maize seed types planted. In the sample, 70% of maize seed observations are correctly reported as local or improved, while 16% are type I errors (falsely reported as improved) and 14% are type II errors (falsely reported as local). Type I errors are more likely to have been sourced from other farmers, rather than formal channels. An analysis of input use, including seed, fertiliser, and labour allocations, reveals that farmers tend to treat improved maize differently, depending on whether they correctly perceive it as improved. This suggests that errors in farmers’ seed type awareness may translate into suboptimal management practices. The average yield of seed that is correctly identified as improved is almost 700 kg per hectare greater than that of type I errors. This indicates that investments in farmers’ access to information, seed labelling, and seed system oversight are needed to complement investments in seed variety development.     

The importance of understanding the exchange context when developing a decision support tool to target prospective customers of business insurance

Companies use decision support tools that enable them to efficiently manage their customers. When targeting new prospective customers, companies need to be able to select those customers who are not only more likely to respond to their marketing activities but are also going to buy their products. There is a lot of research about customer relationship Management and the analytical models that can be used to effectively select and manage customers. There is however less attention that is given to the actual process of developing and building a marketing decision support tool. In this paper, we pay particular attention to the construction process of a marketing decision support tool. A key contribution of the paper is that we propose that companies should pay more attention to studying their exchange context and its unique features when they are developing analytical models to support marketing decisions. We illustrate the research contribution through the story of a company that is involved in the direct marketing of business insurance and faces the need to implement a better targeting model.