Quaker Business Ethics as MacIntyrean Tradition

Journal of Business Ethics - This paper argues that Quaker business ethics can be understood as a MacIntyrean tradition. To do so, it draws on three key MacIntyrean concepts: community,...     

Passive Investment Strategies and Efficient Markets

This paper presents the case for and the evidence in favour of passive investment strategies and examines the major criticisms of the technique. I conclude that the evidence strongly supports passive investment management in all markets—small–capitalisation stocks as well as large–capitalisation equities, US markets as well as international markets, and bonds as well as stocks. Recent attacks on the efficient market hypothesis do not weaken the case for indexing.     

A Bayesian analysis of a variance decomposition for stock returns

We apply Bayesian methods to study a common vector autoregression (VAR)-based approach for decomposing the variance of excess stock returns into components reflecting news about future excess stock returns, future real interest rates, and future dividends. We develop a new prior elicitation strategy, which involves expressing beliefs about the components of the variance decomposition. Previous Bayesian work elicited priors from the difficult-to-interpret parameters of the VAR. With a commonly used data set, we find that the posterior standard deviations for the variance decomposition based on these previously used priors, including “non-informative” limiting cases, are much larger than classical standard errors based on asymptotic approximations. Therefore, the non-informative researcher remains relatively uninformed about the variance decomposition after observing the data. We show the large posterior standard deviations arise because the “non-informative” prior is implicitly very informative in a highly undesirable way. However, reasonably informative priors using our elicitation method allow for much more precise inference about components of the variance decomposition.     

Antecedents of private label attitude and national brand promotion attitude: similarities and differences

A model that addresses the similarities and differences in conceptual antecedents of attitudes toward private label grocery products and national brand promotions is proposed and tested. The proposed model is tested using a sample of 300 consumers who were recruited from grocery stores, provided behavioral data from sales receipts of their shopping trip, and responded to a survey that contained multi-item construct measures. We predict and find in the study that both price and nonprice related constructs impact both private label attitude and national brand promotion attitude, but the directionality and strength of several of these relationships differ. Implications of these findings for retailers and national manufacturers are discussed.     

NONPROFIT EMPLOYEES' MACHIAVELLIAN PROPENSITIES

Nonprofit organizations are held to high ethical standards due to their charitable missions serving the common good. Incidents of fiscal mismanagement within the nonprofit sector make it relevant to assay the ethical principles of employees. This study examines the level of Machiavellian propensities of US nonprofit employees. Results indicate Machiavellian propensities do exist in certain nonprofit employees and these employees agree with questionable behavior. Policy makers and oversight agencies may find these results useful in developing corporate governance and accountability measures for nonprofit organizations. Furthermore, board of director members may use these results to monitor employee actions and address management training.     

THE LAST MILE: AN EXAMINATION OF EFFECTS OF ONLINE RETAIL DELIVERY STRATEGIES ON CONSUMERS

The Internet has increased the level of importance of the end‐consumer market to transportation carriers. In two between subject experiments, carrier disclosure on retail merchant websites is examined as a strategic differentiation strategy. Predictions are offered concerning effects of carrier disclosure strategies on product delivery‐related expectations, consumer attitudes, and intentions to purchase a product online. Results from Study 1 reveal significant differences between disclosure and nondisclosure of the carrier for numerous product delivery‐related variables, as well as many differences between the six carriers examined in this first study. Study 2 extends these findings by showing that providing consumers with a choice of carrier leads to increased levels of satisfaction with the online experience and greater willingness to buy, relative to nondisclosure and disclosure strategies.     

Is Meta-Analysis a Noah's Ark for Non-Market Valuation?

This paper describes meta-analytical methods as they have been appliedto non-market valuation research. These studies have been used to reviewand synthesize literature and, more recently, in benefit transfer. Thissecond use imposes a higher standard on the consistency in economicconcepts being summarized and in the resources included in ameta-analysis. To meet this need, the paper proposes and illustrates astructural framework using a generalized method of moments estimator toestimate the parameters of a preference function with the benefitsestimates usually encountered in meta-analytic summaries.     

Hedonic models and air pollution: Twenty-five years and counting

This paper reports a meta analysis of how effectively hedonic property models have detected the influence of air pollution on housing prices. Probit estimates are reported describing how data, model specification, and local property market conditions in cities represented in thirty-seven studies influence the ability of hedonic models to uncover negative, statistically significant relationships between housing prices and air pollution measures.Partial support for this research was provided by the Russell Sage Foundation. Thanks are due David Cordray, Heidi Hartman, and Larry Hedges of the Foundation's Meta-Analysis Panel for constructive comments, to Ray Palmquist for suggestions and assistance in assembling the results from his studies, to Rick Freeman and Tom Tietenberg and two anonymous referees for comments on the research, and to Barbara Scott for constructive editing of earlier drafts of this paper.     

Modeling Disinterest and Dislike: A Bounded Bayesian Mixed Logit Model of the UK Market for GM Food

Mixed logit models represent a powerful discrete choice analytical model but require assumptions about the functional form of the parameter distributions. The use of unbounded distributions, such as the normal distribution, may be regarded as unsuitable where theory indicates that all are negatively affected by increases in an attribute, such as price. Bounded distributions such as the triangular and log-normal are unable to model the case where a section of the population is indifferent towards an attribute, while the remainder are negatively disposed toward it. Train and Sonnier’s bounded mixed logit model accommodates these features and is employed in this paper. A censored normal and Johnson’s S_b distribution are used to model preferences in the UK for food attributes, including price and GM technology. Bi-modal distributions are identified regarding GM food: some are unlikely to ever consume it, some are close to indifference and willing to consume at relatively small discounts while the remainder are fairly unresponsive to further price reductions.