Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.     

On emancipators,engineers, and students: The appropriate attitude of the economist

The Review of Austrian Economics - This paper presents an original conceptualization of the different attitudes economists have expressed toward their object of study. It distinguishes between a...     

Evidence of Industry Scale Effects on Audit Hours,Billing Rates,and Pricing

Using a proprietary data set consisting of all private firm audit engagements in 2000 from one Big 4 firm in Belgium, we investigate (i) whether audit office industry scale is associated with a reduction of total, partner, and staff audit hours and thus with efficiency gains triggered by organizational learning from servicing more clients in an industry and (ii) whether the extent of efficiency pass‐on from the auditor to its clients depends on the audit firm's market power. We find that auditor office industry scale is associated with efficiency gains and a reduction of the variable costs (i.e., fewer total audit hours, partner hours, and staff hours), ceteris paribus. Our results also suggest that, on average, realized efficiencies are entirely passed on, as evidenced by a nonsignificant effect of auditor industry scale on the auditor's billing rate. Furthermore, we find that the extent of the efficiency pass‐on decreases with the market power of the audit firm in the industry market segment as we document a higher billing rate for auditors with high market power (versus low market power). In addition, we find that the lower audit hours associated with auditor industry scale do not compromise audit quality.     

The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model

This paper presents the first value of statistical life (VSL) meta-analysis that empirically estimates correction factors for ‘out of context’ benefits transfer (BT) purposes. In the field of mortality risk reductions elicited willingness to pay values in one risk context, say road safety, are frequently applied in other risk contexts like air pollution. However, differences in risk perception and the population at risk across contexts are likely to result in diverging VSL estimates. In a meta-analysis of 26 international stated preference studies, a Bayesian model is estimated regressing contingent values for mortality risk reductions, originating from three different risk contexts, on the characteristics of the risk reduction itself and additional variables characterizing the underlying studies. A willingness to pay (WTP) premium for mortality risk reductions in the air pollution and general mortality risk context relative to improving road safety is observed. Evaluated at the mean, road safety VSL estimates should be multiplied by a factor 1.8 before being applicable in the air pollution context. Moreover, in an illustrative BT exercise we find limited overlap in the set of context specific predictive VSL distributions. Consequently, ‘out of context’ BT results in a substantial over- or underestimation of the VSL.     

An empirical test of spatial competition in the audit market

This study empirically examines the effects of competition through differentiation on audit pricing. Based on prior economic theory on differentiated-product markets (e.g., Hotelling, 1929, Tirole, 1988), we hypothesize that audit fees are affected by an auditor's relative location in a market segment. We define audit markets per industry segment and U.S. Metropolitan Statistical Area and specify an auditor's industry location relative to the client (auditor–client industry alignment) and relative to the closest competitor (industry market share distance to closest competitor). We find that audit fees increase in both auditor–client industry alignment and industry market share distance to the closest competitor.     

Choice Certainty and Consistency in Repeated Choice Experiments

The main objective of this study is to examine how repeated choice affects preference learning in stated preference experiments. We test different hypotheses related to preference learning by analyzing response patterns and asking respondents in a choice experiment to report their experienced certainty when going through the choice tasks. In a split-sample test, we show that follow-up choice certainty questions are procedural invariant. The self-reported certainty results indicate that learning occurs, but econometric testing procedures do not identify any significant impact of learning effects on parameter estimates or variance across choice tasks. Additional tests of choice consistency suggest that preferences in the choice experiment are stable and coherent.     

Supply chain relationships: Exploring the linkage between inter-organisational adaptation and learning

This paper aims to advance the process dimension of inter-organisational adaptation that takes places in supply chain relationships, building upon learning literature. Therefore, it summarizes and disentangles the different debates on inter-organisational adaptation and learning in the literature and establishes the theoretical linkage between both concepts. Two dyadic case studies show that the learning processes that underlie inter-organisational adaptations may be comprehensively classified based upon the direction of learning, resulting in “learning from” versus “learning with”, and based upon the span of learning, resulting in “incidental learning” versus “incremental learning”. The experiential nature of learning provides an explanation for the reinforcing character of inter-organisational adaptation, which is an alternative to the explanations presented in literature on supply chain relationships.     

The effect of strategic and operating turnaround initiatives on audit reporting for distressed companies

Empirical research on the effect of turnaround initiatives on audit reporting is scant. This paper addresses this gap by examining audit reporting for distressed companies and its association with a broad array of strategic and operating turnaround initiatives. In particular, we study the association between business risk information and going-concern decisions for distressed clients. Using a sample of distressed firms in the US manufacturing industry, we find that both short-term cash flow potential as well as strategic growth and hence long-term cash flow potential are necessary for strategic turnaround initiatives to have a mitigating impact on the auditor’s going-concern decision. Strategic turnaround initiatives for which only one of these two conditions holds and operating turnaround initiatives appear to function as going-concern risk factors as they are associated with a higher likelihood that a going-concern opinion will be issued. We also find that specialist and non-specialist auditors assess the mitigating potential of some but not all turnaround initiatives differently. Overall, our results suggest that auditors’ strategic risk assessment (typically done in a business risk auditing context) is associated with the outcome of the audit process (the opinion).