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.     

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.     

Salespeople’s use of upward influence tactics (UITs) in coping with role stress

Researchers’ attentions have recently focused on how salespeople cope with role stress. This study focuses on salespersons’ use of six upward influence tactics (UITs) with the immediate sales manager, and how salespeople use UITs to lessen the impact of two role stressors (perceived role conflict and role ambiguity) associated with the sales job. The study also evaluates the potential moderating role of UITs on relationships between role stress and manager satisfaction and propensity to leave. Analysis of data gathered from a heterogeneous sample revealed differences in use of UITs between salespeople classified as either high or low in role stress. Salespeople who perceive high role conflict employ assertiveness and upward appeal UITs more frequently. Salespeople who perceive high role ambiguity use exchange and coalition-building UITs more frequently. Results also suggest that salespersons’ use of assertiveness and ingratiation UITs exacerbate relationships between perceived role ambiguity and two outcomes: satisfaction with supervisor and propensity to leave. Implications of the study findings for sales managers are reviewed, as are implications for further research. His research interests are in the areas of personal selling and sales management. His work has appeared inJournal of Education for Business, Journal of Marketing Theory and Practice, and various national and international conference proceedings. Jeffrey K. Sager, Ph. D., conducts research in the areas of salesperson turnover and job stress. His work has appeared in theJournal of the Academy of Marketing Science, Journal of Personal Selling and Sales Management, andJournal of Business Research. His research interests are in the fields of strategic management and organizational behavior. His research has been published in theAcademy of Management Journal, Journal of Applied Psychology, and several other journals.     

Tofacitinib in the treatment of moderate-to-severe rheumatoid arthritis: a cost-effectiveness analysis compared with adalimumab in Taiwan

Aims: Tofacitinib is an oral Janus kinase inhibitor for the treatment of rheumatoid arthritis (RA). This analysis investigated the cost-effectiveness of the second-line treatment with tofacitinib, compared with adalimumab, both plus methotrexate (MTX), in patients with moderate-to-severe RA and an inadequate response to the first-line MTX, from a Taiwan National Health Insurance Administration perspective.

Materials and methods: A patient-level simulation model was used to project lifetime costs and quality-adjusted life-years (QALYs). Base-case analysis compared second-line treatment with tofacitinib 5?mg twice daily plus MTX vs adalimumab 40?mg every 2?weeks plus MTX. Patients switched or discontinued treatment due to a lack or loss of effectiveness or a serious adverse event. Efficacy was measured by change in Health Assessment Questionnaire-Disability Index (HAQ-DI) score. HAQ-DI scores were used to predict mortality and resource utilization, and were mapped onto utility values to estimate QALYs. Efficacy and safety data were derived from clinical trials and other secondary sources. Uncertainty in model parameters was explored using one-way deterministic and probabilistic sensitivity analyses.

Results: Patients gained 0.09 more QALYs with second-line tofacitinib plus MTX compared with adalimumab plus MTX (5.13 vs 5.04, respectively) at an additional cost of New Taiwan Dollars (NT$) 12,881. The incremental cost-effectiveness ratio was NT$143,122/QALY. One-way sensitivity analysis confirmed the base-case result was robust.

Limitations: The lack of available clinical data, particularly for HAQ-DI scores, may introduce some bias in the analysis. No patients were in an early stage of RA, which may limit the generalizability of these results. Base-case results from our study are not necessarily generalizable to countries with healthcare systems that differ considerably from Taiwan.

Conclusions: From a payer perspective, second-line treatment with tofacitinib plus MTX is a cost-effective treatment strategy, compared with adalimumab plus MTX, in patients with moderate-to-severe RA in Taiwan.

Trial registration: ClinicalTrials.gov identifier: NCT00853385.     

Skill-Specific rather than General Education: A Reason for US–Europe Growth Differences?

In this paper, we develop a model of technology adoption and economic growth in which households optimally obtain either a concept-based, general education or a skill-specific, vocational education. General education is costly to obtain, but enables workers to operate new production technologies. Firms weigh the cost of adopting and operating new technologies against increased profits and optimally choose the level of adoption. We show that an economy whose policies favor vocational education will grow slower in equilibrium than one that favors general education. More importantly, the gap between their growth rates will increase with the growth rate of available technology. By characterizing the optimal Ramsey education policy we also demonstrate that the optimal subsidy for general education increases with the growth rate of available technology. Our theory suggests that European education policies that favored specialized, vocational education might have worked well, both in terms of growth rates and welfare, during the 1960s and 1970s when available technologies changed slowly. However, in the information age of the 1980s and 1990s when new technologies emerged at a more rapid pace, they might have contributed to an increased growth gap relative to the United States.