Women,men and organic food: differences in their attitudes and willingness to pay. A Spanish case study

The main purpose of this work consists of displaying the different attitudes of men and women towards organic food, and their willingness to pay for it, in three different consumer intensities: usual, occasional and potential consumers. Several surveys have been carried out to obtain a representative sample of regular food purchasers living in Castilla‐La Mancha (Spain). Statistic analysis previously detecting significant differences with regard to gender and type of consumer has been conducted by univariate analysis to describe attitudes, and multivariate analysis, through ‘logit’ models, to calculate maximum willingness to pay. Results show that women have a more favourable attitude (directly related to their lifestyle) to the purchase and consumption of organic food than men, whereas men are inclined to pay a higher price for organic food than women. In general, men are disposed to pay a higher increase in price than women.     

Adjustment costs and dynamic factor demands for U.S. cigarette manufacturing

Following the approach of Berndt, Fuss, and Waverman, a dynamic model for U.S. cigarette manufacturing is developed and factor demands estimated. Tobacco and capital stocks are treated as quasi-tixed inputs. The results indicate that there are significant adjustment costs associated with adjusting tobacco stocks, but not with adjusting the capital stock. Short-run, intermediate-run, and long-run output constant elasticities are estimated for inputs in cigarette production. Demand for U.S. tobacco by U.S. cigarette manufacturers is found be more inelastic than shown by previous studies using static models. Cigarettes produced for export appear to differ in their marginal cost of production from cigarettes produced for the sale in the U.S. market.     

Alternative indexes for monitoring customer perceptions of service quality: A comparative evaluation in a retail context

Customer satisfaction and service quality measures obtained through consumer surveys invariably have skewed distributions. As such, researchers have questioned the appropriateness of the popular approach of using the mean rating to summarize such data. However, no detailed study on this topic has yet been conducted. In two independent studies, the relative validity of the various indexes that can be used to summarize consumer’s service quality ratings (e.g., mean, median, mode, kurtosis, skewness, top/bottom-tail percentiles) are examined. In Study 1, using typical commercial survey data from a fast-food/convenience retail chain, both the mean and top-box percentiles are found to be the best indicators of service quality, based on their correlation with customer-driven business performance measures. In Study 2, the results are further confirmed by an extensive simulation that varies factors such as the shape of the underlying distribution of customer ratings and the strength of the relationship between customer ratings and business performance measures. The article concludes with a discussion of the findings and implications for future research. Robert F. Hurley is an assistant professor of marketing at Fordham University. He received his M.B.A. from the University of Pennsylvania and his Ph.D. from Columbia University. His research has been published in theJournal of Marketing, theJournal of the Academy of Marketing Science, Advances in Services Marketing and Management, theJournal of Business Research, California Management Review, theJournal of Applied Social Psychology, theJournal of Marketing Theory and Practice, and theJournal of Engineering and Technology Management. Hooman Estelami is an assistant professor of marketing at Fordham University. He received his M.B.A. from McGill University and his Ph.D. from Columbia University. His research has been published in theJournal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, Pricing Strategy and Practice, Middle East Insight, Advances in Consumer Research, theJournal of Professional Services Marketing, and theJournal of Business in Developing Nations.     

Abnormal Returns in the Acquisition Market: The Case of Bank Holding Companies, 1990–1993

Recent evidence suggests that announcements of bank holding company acquisitions result in wealth transfers from the bidding to target shareholders. Empirically, this is demonstrated through findings of negative average abnormal returns to bank holding company acquirers and positive average abnormal returns to targets on announcement. Using a sample of acquisitions from the early 1990s—a period marked by the removal of significant geographic entry barriers—this paper reexamines the issue by applying a general statistical model to the event study framework to more precisely measure abnormal returns. In particular, we model returns according to the GARCH process to control for time-varying volatility. With respect to the unconditional distributions of acquirer and target abnormal returns, our findings are consistent with prior research. Further investigation into the conditional distribution of acquirer returns finds that, on announcement, interstate acquisitions using the purchase method of accounting actually increased shareholder wealth for acquirers (on average) by 1.44%. However, over a longer event horizon, the most important determinants of acquirer abnormal returns appear to be the relative size of the transaction and the method of accounting.     

Analyzing Real Estate Data Problems Using the Gibbs Sampler

Real estate data are often characterized by data irregularities: missing data, censoring or truncation, measurement error, etc. Practitioners often discard missing- or censored-data cases and ignore measurement error. We argue here that an attractive remedy for these irregularity problems is simulation-based model fitting using the Gibbs sampler. The style of the paper is primarily pedagogic, employing a simple illustration to convey the essential ideas, unobscured by implementation complications. Focusing on the missing-data problem, we show dramatic improvement in inference by retaining rather than deleting cases of partially observed data. We also detail Gibbs-sampler usage for other data problems.     

Logistical Strategies and Risks in Canadian Grain Marketing

Logistics management in grain marketing has become very important with the maturity of the industry. This is particularly critical in the Canadian grain marketing system, which has experienced disruptions for various reasons over many years. These problems have been the topic of numerous industry evaluations, have resulted in a complaint about service obligations during the 1996–97 crop year, and were addressed by the Estey Commission. A detailed model of the Canadian grain logistics system is developed in this paper to evaluate factors that cause disruptions, as well as the effect of several important logistics and marketing strategies on system performance. The results illustrate that there is sufficient randomness throughout the various functions of the system that it is expected that demurrage at the west coast would periodically be an important cost. The frequency of service disruptions and demurrage are affected by several factors, including the distribution of tough and damp grains, mis‐graded grain and the level of exportable supplies. Several strategic variables affect system performance. These include the aggressiveness in selling relative to capacity and the level of beginning port stocks. La gestion de la logistique dans le commerce des céréales a acquis une grande importance maintenant que ce secteur a atteint la maturité. C'est particulièrement important dans le système canadien de mise en marché des céréales lequel, pour diverses raisons, a essuyé bien des perturbations ces dernières années. Les problèmes en cause ont fait l'objet de nombreuses évaluations du secteur. Ils ont même abouti au dépôt d'une plainte sur les obligations de service dans la campagne agricole 1996–1997 et ont étéétudiés par la Commission Estey. Dans la présente communication nous avons construit un modèle détaillé du système canadien de logistique du marché des céréales ainsi que de l'effet de plusieurs stratégies importantes de logistique et de commercialisation sur la performance du systeme. Les résultats obtenus montrent qu'il y a suffisamment d'aléatoire dans les diverses fonctions du systeme pour conclure que les frais de séjour à quai sur la côte ouest seraient périodiquement un important poste de dépense. La fréquence des perturbations des services et les coûts a quai sont associés à plusieurs facteurs dont la livraison de grain gourd et humide, de grain mal classé et le niveau des disponibilités exportables. Plusieurs variables stratégiques influent sur le fonctionnement du système, notamment l'agressivité manifestée dans la vente par rapport aux stocks disponibles et le niveau des stocks disponibles dans les ports au début de la campagne d'exportation.     

Racial Earnings Disparities and Family Structure

One explanation for the widening of racial earnings gaps among family heads during the 1980s is that black families were increasingly headed by females during that period. This explanation is tested using data on black and white family heads in 1976 and 1985 from the Institute for Research on Poverty's Current Population Survey. Log-earnings equations, corrected for selection bias and for the endogeneity of labor force participation, are estimated for blacks and whites in 1976 and 1985. If the impact of rising female-family headship on labor force participation is ignored, one finds support for the family structure explanation. But support for alternative explanations is also found. There are substantial impacts of within-race gender discrimination and of market racial discrimination. When the endogeneity of family structure is taken into account, further support is found for the view that endowment differences only explain a modest portion of the rising gap in earnings between black and white family heads.     

Employment and wage dynamics in Estonia, 1989-951

This study monitors the effects of economic transition on wages and employment in a former Soviet Republic. Estonia's case is of particular interest because of its early adoption of relatively free labour market policies. Relative wages for the highest educated groups rose for all age groups. There were also rapid increases in returns to job experience, particularly at young ages. Increasing wage dispersion across human capital groups was accompanied by narrowing wage dispersion within human capital groups. Relative wages rose in sectors which gained relative employment, while they fell in shrinking sectors. In addition, there were large flows of labour between shrinking and growing sectors, suggesting that labour market equilibrating mechanisms developed very rapidly in Estonia.