Use of minimum risk approach in the estimation of regression models with missing observations

This article considers a linear regression model with some missing observations on the response variable and presents two estimators of regression coefficients employing the approach of minimum risk estimation. Small disturbance asymptotic properties of these estimators along with the traditional unbiased estimator are analyzed and conditions, that are easy to check in practice, for the superiority of one estimator over the other are derived. Received May 2001     

TWO READINGS AND AN EPILOGUE: A COMMENTARY ON THE VOICE OF SEDUCTION IN MYNATTET AL.

Two readings are made of Mynatt, Omundson, Schroeder and Stevens (pp. 657–683). The first reading views the paper through a largely “conventional” social science lens, while the second adopts a more critical perspective which raises three issues: abstraction in research; gender and ethnicity; and the rhetoric of research.     

Modeling ethical attitudes and behaviors under conditions of environmental turbulence: The case of South Africa

This study explores the impact of environmental turbulence on relationships between personal and organizational characteristics, personal values, ethical perceptions, and behavioral intentions. A causal model is tested using data obtained from a national sample of marketing research professionals in South Africa. The findings suggest turbulent conditions lead professionals to report stronger values and ethical norms, but less ethical behavioral intentions. Implications are drawn for organizations confronting growing turbulence in their external environments. A number of suggestions are made for ongoing research. Michael H. Morris became the Fletcher Jones Chair in Entrepreneurship at the University of the Pacific, Stockton, CA in 1993. He received his Ph.D. in Marketing. He is the author of two books and over forty articles in academic journals, including the Journal of International Business Studies, the Journal of Business Research, the Journal of Management, and the Journal of the Academy of Marketing Science. Dr. Morris' principal research interests include entrepreneurial behavior, industrial marketing strategy, and pricing.Amy Seidel Marks has been a Senior Lecturer in Marketing at the GSB UCT since 1989. She holds a Ph.D. in Marketing from the Kellogg Graduate School of Management, and has worked in the areas of consumer behavior analysis and social marketing for 20 years. During her time in South Africa she has conducted numerous research projects in areas such as AIDS prevention, tobacco control and iodine deficiency, and has also served as a consultant to national projects in tuberculosis drug compliance, tobacco control and adult education.Jeff Allen received his doctorate from the University of Kentucky. He is currently an Assistant Professor of Marketing at the University of Central Florida, Orlando, Florida, Dr. Allen has published in various national and international academic journals on topics of social responsibility, marketing ethics, and health care marketing. Newman S. Perry, Jr. is Professor of Management, School of Business and Public Administration at the University of the Pacific in Stockton California. He has just completed Business, Government, and Society: Managing Competitiveness, Ethics, and Social Issues published by Prentice-Hall and previously coauthored a book on strategic management.     

Asymptotic expansion of S-estimators of location and covariance

By means of a straightforward application of empirical process theory, we show that S-estimators of multivariate location and covariance are asymptotically equivalent to a sum of independent vector and matrix valued random elements respectively. This provides an alternative proof of asymptotic normality of S-estimators and clearly explains the limiting covariance structure. It also leads to a relatively simple proof of asymptotic normality of the length of the shortest α-fraction.     

State takeover legislation and share values: The wealth effects of Pennsylvania's Act 36

Proponents of state antitakeover legislation argue that previous empirical tests by financial economists of the wealth effects of Pennsylvania's 1990 antitakeover law are biased. We show that the proponents are correct. In particular, firm size, event-time clustering, and non-synchronous trading effects account for the wealth decreases reported in earlier studies. We also show, however, that both proponents and critics of the Pennsylvania legislation have ignored the earliest press release about it. The wealth effect associated with this announcement is negative, large, and statistically significant. These results therefore are consistent with the hypothesis that the Pennsylvania law decreased company values and with the hypothesis that the initial market reaction is an unbiased estimate of the law's effect on firm values.