Is conventional debriefing adequate? An ethical issue in consumer research

Issues relating to ethics are infrequently addressed in the marketing literature. One area in which there might be ethical concerns is debriefing. In an experiment, when false information is provided by the researcher to subjects, those false beliefs can persist despite conventional debriefing. The persistence of false beliefs has ethical implications, of which consumer researchers should be aware. Anexplicit debriefing involving a formal discussion of the belief perseverance phenomenon is proposed as an alternative to conventional approaches. This is tested in three separate studies, including a partial replication of Ross, Lepper, and Hubbard (1975) as well as two extensions to marketing situations. Implications for corrective advertising are also discussed.     

Enriching interactions: Incorporating outcome data into static discrete games

When modeling the behavior of firms, marketers and micro-economists routinely confront complex problems of strategic interaction. In competitive environments, firms make strategic decisions that not only depend on the features of the market, but also on their beliefs regarding the reactions of their rivals. Structurally modeling these interactions requires formulating and estimating a discrete game, a task which, until recently, was considered intractable. Fortunately, two-step estimation methods have cracked the problem, fueling a growing literature in both marketing and economics that tackles a host of issues from the optimal design of ATM networks to the choice of pricing strategy. However, most existing methods have focused on only the discrete choice of actions, ignoring a wealth of information contained in post-choice outcome data and severely limiting the scope for performing informative counterfactuals or identifying the deep structural parameters that drive strategic decisions. The goal of this paper is to provide a method for incorporating post-choice outcome data into static discrete games of incomplete information. In particular, our estimation approach adds a selection correction to the two-step games approach, allowing the researcher to use revenue data, for example, to recover the costs associated with alternative actions. Alternatively, a researcher might use R&D expenses to back out the returns to innovation.     

THE VALUE OF EXPERIENTIAL LEARNING BY ORGANIZATIONS: EVIDENCE FROM INTERNATIONAL JOINT VENTURES

We use a sample of international joint venture announcements to test the hypothesis that organizations learn from experience, such that prior learning enhances the value of later ventures. We find that experience with ventures in the same foreign location, as well as experience with international joint ventures in general, is valued by the market. In contrast, experience in the same type of joint venture activity does not add any incremental value. These findings suggest the market recognizes and values some, although not all, forms of organizational learning.     

DO SCANDALS TRIGGER GOVERNANCE CHANGES? EVIDENCE FROM OPTION BACKDATING

We examine whether firms charged with backdating option grants make discernible changes to board structure and activity and whether such changes help recoup value losses from the revelation of option backdating. We find that these firms increased board size, reduced duality, and increased board independence. In addition, the boards and the compensation committees of these firms experienced significant increases in meeting frequency. We also find that firms in the same sectors that had not been identified as backdating option grants experienced similar changes in board activity and some elements of board structure. Additional analysis reveals that increases in board size, chief excutive officer turnover, and the meeting frequency of the audit committee are related to buy‐and‐hold abnormal returns in the postscandal period.     

MaxVaR for non-normal and heteroskedastic returns¶

In this work we propose Monte Carlo simulation models for dynamically computing MaxVaR for a financial return series. This dynamic MaxVaR takes into account the time-varying volatility as well as non-normality of returns or innovations. We apply this methodology to five stock market indices. To validate the proposed methods we compute the number of MaxVaR violations and compare them with the expected number. We also compute the MaxVaR-to-VaR ratio and find that, on average, dynamic MaxVaR exceeds dynamic VaR by 5–7% at the 1% significance level, and by 12–14% at the 5% significance level for the selected indices.     

Alternative measurement approaches to consumer values: The list of values and the rokeach value survey

Two methods of measuring consumer values, the List of Values and the Rokeach Value Survey, are compared. Both involve some social desirability responding but both have convergent, discriminant, and empirical validity for consumer research. The List of Values may be preferable for some types of research because it detects more daily influence in people's lives and because it is simpler to administer.     

Consumer response to economic crisis and lessons for marketers: The Turkish experience

Private consumption is the largest component of gross domestic product (GDP). It has a substantial impact on the speed of recovery from an economic crisis. This paper aims to examine the behavior of consumers, firms, and government in Turkey in response to the recent global economic crisis. Turkey was one of the few countries that emerged from the economic downturn relatively quickly. The demographics of consumers, the solidity of financial sector, and the government policies led to a speedy recovery from the crisis through an increase in consumption expenditures. During the initial shock, consumers switched to cheaper goods and decreased consumption expenditures in total. The government emphasized that the impact of crisis would be limited. The opening of credit lines, the temporary reduction in value-added tax and special consumption tax on certain commodities, aggressive marketing campaigns, and a rosy future drawn by chambers of commerce and NGOs in specific promotional activities were influential in increasing consumption. This paper discusses the consumer response to and the marketing lessons derived from this experience.     

Smooth estimators for estimating order restricted scale parameters of two gamma distributions

We consider the problem of component-wise estimation of ordered scale parameters of two gamma populations, when it is known apriori which population corresponds to each ordered parameter. Under the scale equivariant squared error loss function, smooth estimators that improve upon the best scale equivariant estimators are derived. These smooth estimators are shown to be generalized Bayes with respect to a non-informative prior. Finally, using Monte Carlo simulations, these improved smooth estimators are compared with the best scale equivariant estimators, their non-smooth improvements obtained in Vijayasree, Misra & Singh (1995), and the restricted maximum likelihood estimators. Acknowledgments. Authors are thankful to a referee for suggestions leading to improved presentation.