Var and Impulse-Response: A Note

Journal of Quantitative Economics -     

Marketing norms: The influence of personal moral philosophies and organizational ethical culture

This study develops a scale, using the American Marketing Association’s code of ethics, to measure the marketing-related norms of marketing practitioners. The scale has five dimensions: 1) price and distribution, 2) information and contracts, 3) product and promotion, 4) obligation and disclosure, and 5) general honesty and integrity. The relative influence of personal moral philosophies and organizational ethical climate on the norms of marketers was also examined in this study. He received his Ph.D. in marketing from Texas Tech University. His work has previously appeared in theJournal of Macromarketing, Journal of Business Ethics, Research in Marketing, Business and Professional Ethics Journal, andJournal of the Academy of Marketing Science, as well as various other journals and proceedings. His research has been accepted for publication in theJournal of Pharmaceutical Marketing and Management and theJournal of Business Ethics, and has been published in various national and regional proceedings. His research interests include marketing ethics, health care marketing, international marketing, and direct marketing. He received his Ph.D. in marketing from the University of Mississippi. His work has previously appeared in theJournal of Macromarketing, Journal of Business Ethics, Business and Professional Ethics Journal, Journal of Public Policy and Marketing, andJournal of the Academy of Marketing Science, as well as other journals and proceedings.     

Estimating Willingness to Pay for Improved Water Quality in the Presence of Item Nonresponse Bias

This article deals with the problem of item nonresponse in contingent valuation surveys using a payment-card method, by applying a grouped-data sample-selection estimation technique that is capable of imputing the missing values conditional upon a respondent's decision to answer a willingness-to-pay question. The advantage of the technique lies in its ability to utilize all of the information in the sample, permitting a more efficient estimation in the presence of item nonresponse bias. The major determinants of willingness to pay appear to be household income, number of children, education, perception of existing water quality, and identification with environmental issues.     

Wavelet Analysis of the Bombay Stock Exchange Index

The fluctuations in the rate of returns of the Bombay stock exchange are analyzed through wavelet transform. The fluctuations, in various time scales, naturally separated by the wavelets, are subjected to statistical analysis. The localization and multiresolution properties of the wavelets enable one to identify collective behaviour in the stock market and the extent of their influence at various time scales. The Gaussian nature of the rate of returns at certain scales and the periodic nature of the same, at other scales, are clearly brought out by this analysis. The utility of this approach for modeling purpose is also elucidated.

     

The different faces of coupon elasticity

Coupons account for over two-thirds of all consumer promotional efforts initiated by the manufacturers of consumer goods. In this study, the impact of coupons on brand sales is investigated and how that impact decays over the life of the coupon is demonstrated. Specifically, we present an econometric model that can capture coupon effects in terms of equivalent price reduction, account for coupon effects over time, allow inference of coupon effects when retailers decide to double or triple the coupon value, and provide both self-coupon and cross-coupon elasticities at different levels of aggregation. A widely used sales response model is adapted, and an analytical model is proposed to estimate both the self-coupon and cross-coupon (face value) elasticities of sales at the store level. From the store-level elasticity estimates for a given week, the authors analytically derive the coupon elasticities for the chain level by aggregating across stores, and over the life of the coupon by aggregating over time. The proposed sales response model is estimated with the data obtained from three markets for various product categories, and the coupon elasticities are computed. The proposed framework allows one to demonstrate the hypothetical equivalence of a shelf-price reduction for a given coupon face value in each week. Also, the effect of doubling the face value of a coupon results in more than a proportionate increase in elasticity. The authors find that both self and cross-coupon elasticities are much smaller in magnitude than the average self and cross-price elasticity measures reported in the literature.     

Planning food services for a campus setting

Providing appropriate food services in a campus setting is increasingly important due to more demanding customers and because clients have less time to go off-campus when they need to eat. Using a university campus as an example, this research looks at customer satisfaction with existing food services and explores various methods for determining where to locate new facilities. This campus currently has great needs for additional food services, and it is shown clearly where additional food services are required. Also, the methods used are compared in terms of their effectiveness in finding the solution.     

Simultaneous determination of product attributes and prices, and production processes in product-line design

Global competition, rapid changes in technology, and market fragmentation have resulted in shorter product life cycles. In order to remain viable, it is increasingly important for firms to introduce new products frequently. Product design is a complex process that involves coordination of activities among several functional disciplines within the company as well as the customers and the suppliers. Traditionally, the information flow among the various product development stages has been sequential. However, there is increasing evidence to suggest that an integrated approach that considers several stages simultaneously may be superior.This paper provides a decision support tool for implementing such an integrated approach. On the basis of given customer preferences, the paper presents a model for determining the number of new products to be introduced, the exact specifications of these products, and the production processes for efficiently delivering these specifications. These decisions are made in an integrated manner by simultaneously considering the interaction among the various choice variables. A decomposition-based solution procedure is developed that iterates between the product design and process selection decisions while maintaining an effective link between them.In addition to understanding the economic value of adopting the integrated approach to product design, the paper discusses how the proposed model can be used effectively to perform sensitivity analysis with respect to some of the important decision variables.     

Hierarchical Fuzzy Systems Integrated with Particle Swarm Optimization for Daily Reference Evapotranspiration Prediction: a Novel Approach

Water Resources Management - Reference evapotranspiration (ET0) is a crucial element for deriving irrigation scheduling of major crops. Thus, precise projection of ET0 is essential for better...     

On efficiency of the ratio estimator

Summary The exact mean square error for the ratio estimator of a finite population total based on simple random sampling without replacement is shown to have an expected value less than that of the variance of the ratio estimator based on Midzuno’s scheme, under a usual super-population model.     

Using a customer-Level marketing strategy to enhance firm performance: A review of theoretical and empirical evidence

It is becoming increasingly apparent from the literature that marketers need to consider customer-level information when they generate a marketing strategy for the firm. In this article, the authors develop a customer-focused framework that uses a marketing strategy with an overall objective of maximized financial performance. This strategy is driven by seven customer-level marketing tactics and shows how actual customer data can be used to generate an actionable marketing strategy leading to optimal levels of profitability, customer equity, and shareholder value. In addition, the authors discuss a successful implementation of this strategy for several business-to-business and business-to-consumer firms and offer insights as to how to customize an implementation strategy for any firm, along with presenting potential challenges a firm may encounter during the implementation process. Several suggestions for future research are offered to explore and harness this newly available evidence. V. Kumar (VK) (vk@business.uconn.edu) is the ING Chair Professor of Marketing and the executive director of the ING Center for Financial Services at the University of Connecticut. He spends his time by transferring his knowledge (however little it may be) to his two daughters about customer lifetime value, diffusion models, forecasting sales and market share, retailing, and marketing strategy. J. Andrew Petersen (apetersen@business.uconn.edu) is a doctoral candidate in marketing at the University of Connecticut. His research interests include customer lifetime value, word-of-mouth effects, and customer-level marketing strategy. His research has been published inMarketing Research Magazine and theJournal of the Academy of Marketing Science.