Estimating a restricted normal mean

Let X ₁, X ₂, ..., X _n be a random sample from a normal distribution with unknown mean μ and known variance σ ². In many practical situations, μ is known a priori to be restricted to a bounded interval, say [−m, m] for some m > 0. The sample mean , then, becomes an inadmissible estimator for μ. It is also not minimax with respect to the squared error loss function. Minimax and other estimators for this problem have been studied by Casella and Strawderman (Ann Stat 9:870–878, 1981), Bickel (Ann Stat 9:1301–1309, 1981) and Gatsonis et al. (Stat Prob Lett 6:21–30, 1987) etc. In this paper, we obtain some new estimators for μ. The case when the variance σ ² is unknown is also studied and various estimators for μ are proposed. Risk performance of all estimators is numerically compared for both the cases when σ ² may be known and unknown.     

Determinants of charitable donation intentions: a structural equation model

• Currently charities have to depend more on individual donors and less on the government for funding. Hence, understanding the individual donor and what motivates them to contribute to charities is something, which has been of increasing interest to nonprofit marketers. In this article, a path model for the charitable donation process of a religious individual is developed and tested. The variables that are used in the model are religiosity, attitude towards helping others (AHO), attitude towards charitable organizations (ACO), attitude towards the advertisement (Attad) and behavioral intentions (BI). The results suggest that AHO by itself does not cause BI. Altruistic people need to be targeted with an appropriate advertisement message. Since religiosity is an important causal variable for AHO, segmenting and targeting individuals who are religious would be pertinent. Attempts to build favorable ACO would also be worthwhile.
• Religiosity
• Charitable donation intentions
• Charity advertisements.
• Path model for predicting intentions to donate.

Copyright © 2007 John Wiley & Sons, Ltd.     

Learning effect in multinational diffusion of consumer durables: An exploratory investigation

Literature reflects that a product/technological innovation introduced later in a country results in faster diffusion as the consumers in the lag market have an opportunity to learn about the new product from the consumers in the lead market. A systematic understanding of the learning that takes place between consumers in two countries—a pair of lead and lag countries—can provide insights for a firm’s international market entry decisions. To provide a richer understanding of the underlying structure and patterns that govern this process, propositions linking factors (country characteristics, product/innovation characteristics, and time lag) to the learning process are drawn. Subsequently, these propositions are tested through an empirical investigation of the diffusion patterns of four consumer innovations in multiple European countries. The findings help provide some preliminary guidelines for manufacturers regarding selection of foreign markets and the timing and order-of-entry decisions. He received his Ph.D. from the University of Houston in 1995. His research interests include global competition and marketing strategy, brand equity and brand extensions, customer satisfaction and brand loyalty, and issues pertaining to product development and introduction. He has been recognized with numerous teaching and research excellence awards and has published numerous articles in many scholarly journals in marketing and forecasting. He has coauthored the textbookMarketing Research and is currently working on a book titledInternational Marketing Research, which is based on his marketing research experience across the globe. He is on the editorial review board of many journals and has lectured on marketing-related topics in various universities worldwide. His research interests include developing forecasting models, international marketing strategy and research issues, models for sales promotions, and new methodologies for product positioning and market segmentation. His research interests focus on marketing strategy and international marketing. He has published articles and presented at conferences on research in his area of interest.     

Beyond West and East: Co-evolution and the calling of a new enlightenment and non-duality

Evolution was once a dividing mark between the “developed us” and the “underdeveloped or primitive them” but there has been certain foundational transformations in the theory and normative quest of evolution which challenge us to overcome this. Developments in both the discourse and practice of socio-cultural evolution as well as biological and cosmic evolution point to the need for cultivating a new enlightenment and non-duality going beyond the dualism of environment and the organism, ontogenesis and socio-genesis and much more fundamentally, “us” and “them.” The present essay discusses the contours of a new evolutionary theory under the rubric of “co-evolution.” It builds upon the seminal works of both Bergson and Sri Aurobindo and discusses the outline of a new enlightenment and non-duality. It also discusses the evolutionary challenge before self and society in terms of realizing a new enlightenment which just does not valorize rationality and dualism but strives for realization of non-duality in manifold relations of being and becoming in self and society.     

Firm valuation, abnormal earnings, and mutual funds flow

We examine the valuation effects of overall demand for corporate equities combined with the influence of abnormal earnings and unexpected funds flow. Our results indicate that the expected and unexpected net new total flow of funds into all stock mutual funds do not by themselves have a meaningful effect on firm equity valuation. However, we find the combination of unexpected funds flow and realized abnormal earnings have significant and important valuation effects. Importantly, the valuation impact is greatest for those firms with high earnings growth potential that also operate in an environment characterized by high information asymmetry.

Unification of some multivariate process capability indices for asymmetric specification region

In manufacturing industries, it is often seen that the bilateral specification limits corresponding to a particular quality characteristic are not symmetric with respect to the stipulated target. A unified superstructure of univariate process capability indices was specially designed for processes with asymmetric specification limits. However, as in most of the practical situations a process consists of a number of inter‐related quality characteristics, subsequently, a multivariate analogue of , which is called C_M(u,v), was developed. In the present paper, we study some properties of C_M(u,v) like threshold value and compatibility with the asymmetry in loss function. We also discuss estimation procedures for plug‐in estimators of some of the member indices of C_M(u,v). Finally, the superstructure is applied to a numerical example to supplement the theory developed in this article.     

Estimating exchange rate responsiveness to shocks

The goal of this paper is to examine the importance of permanent and transitory shocks using a more efficient trend-cycle decomposition of the real exchange rate series. Our main contribution is that in measuring the impact of shocks, we not only impose common trend restrictions but also common cycle restrictions. We later confirm, through a post sample forecasting exercise, the efficiency gains from imposing common cycle restrictions. Our results indicate that permanent shocks are responsible for the bulk of the real exchange rate variations for Japan, Italy, Germany, France, and the UK vis-à-vis the US dollar over short horizons. For Canada, however, transitory shocks are dominant over the short horizon. In sum, while for Japan, France, and Italy, around 15% of the variation in real exchange rate is due to transitory shocks, for Canada, Germany and the UK, over 25% of the variations over the short horizon are due to transitory shocks. Thus, we claim that the role of transitory shocks should not be ignored.     

PRICE DISPERSION,INFLATION, AND WELFARE*

We examine the implications of inflation for both price dispersion and welfare in a monetary search economy. In our economy, if the degree of buyers' incomplete information about prices is fixed, both price dispersion and real prices are increasing in inflation. As the inflation rate approaches the Friedman rule, both price dispersion and welfare losses vanish. If households choose the number of prices to observe, then the optimal inflation rate may exceed the Friedman rule as inflation induces search and, up to a point, raises welfare by eroding market power.     

The calling of a creative transdisciplinarity

A relational approach to the problem of interdisciplinary studies is presented and arguments made for rethinking our disciplinary identity from our experiential and aspirational vantage point of transdiciplinary participation. But transdisciplinary participation requires overcoming our disciplinary chauvinism and an openness to the perspectives of other disciplines. In transdisciplinary participation, the other perspective, the other disciplines, need recognition and invitation into the hard core of the disciplinary self and for this the method and weltanschauung of the conventional interdisciplinary research is not enough. Interdisciplinary research now calls for a transdiciplinary interrogation, opening and enrichment which transforms the pious hopes and waiting for interdisciplinarity into a calling of transdiciplinary striving.     

Do market characteristics impact the relationship between retailer characteristics and online prices?

We propose that market characteristics interact with retailer characteristics to determine online prices. The retailer characteristics examined include—service quality of a retailer, channels of transaction provided by a retailer and the size of a retailer. The market characteristics capture the level and nature of competition, and the price level of a product. We utilize a Hierarchical Linear Model (HLM) framework for capturing and testing the proposed interactions. The better fit between the model and the online market structure is reflected by a twenty-five percent increase in explainable price dispersion over results from comparable studies. Our study demonstrates that while retailer characteristics do impact online prices, this influence is significantly enhanced or diminished by the accompanying market characteristics.