BRITISH POTATO STABILISATION POLICY IN A EUROPEAN CONTEXT

This paper presents a simulation model, based on a stochastic spatial equilibrium framework, for the GB potato market, allowing for trade with the Continent and the operation of domestic stabilisation policy. The model is used to explain the operation of the two policy instruments — support buying and area control — and to evaluate policy options and consequences. The notion of a cost-effective support buying programme is introduced and it is found that current policy is in the region of cost-effectiveness. Quota area, subject to the constraint that downside price risk is avoided, is found to lead to a trade-off between the consumer interest and the financial cost of policy. This trade-off is examined in a conventional welfare analysis and in probability terms. Subject to certain caveats, it is concluded that current policy tends to provided price stabilisation rather than price enhancement for producers.     

Implementing: Alternatives,costs, and benefits

This essay provides a conceptual framework for thinking about the problem of implementing (i.e. getting things done) as part of the larger process of managing. We shall isolate some alternative approaches to that implementing problem and briefly examine the underlying beliefs, the accompanying technologies, and the attendant costs/benefits of those alternatives. We shall then make a few suggestions about appropriate alternatives for the decade ahead.     

Measuring customer experience in service: A systematic review

The aim of this systematic review is to identify how customer experience in the service sector has been measured in relevant publications in the marketing field. A sample of 33 papers was collected from two electronic databases—the Web of Science (Thomson Reuters) and Scopus (Elsevier)—covering a large number of publications. After analyzing the articles and reviewing the customer experience literature, the following are our main contributions: (i) clarification of the concepts that appear in the literature review of customer experience in the service sector; (ii) classification of the variables, scales, and constructs related to customer experience in service; (iii) demonstration of the service experience as the preponderant construct that is used to measure customer experience in service; and (iv) proposal of a new dimension—the concept of ‘pre-experience’—to measure customer experience in service. These contributions can provide a more solid basis for measuring customer experience in service.     

An assessment of the psychometric properties of the Perceived Stress Scale-10 (PSS10) with a U.S. public accounting sample

Utilizing a convenience sample of 305 professional staff from seven public accounting firms, this study examined: a) the factor structure of the Perceived Stress Scale-10 (PSS10; Cohen & Williamson, 1988); b) the invariance of its factor structure; c) the scale's reliability; and, d) its convergent and divergent validity. Our analyses support a structure with two primary factors, (General Distress and Ability-to-Cope), which load on a single second order factor, Perceived Stress, regardless of gender. Spearman–Brown reliability coefficients, item-total correlations, and coefficient alphas each supported the reliability of the items loading on the full scale as well as on each of the two primary factors. Collectively, these findings provide compelling evidence in support of the PSS10 as a perceived stress measure for accounting professionals. However, more research is warranted to investigate the efficacy of a reduced six-item version of the instrument.     

DISCRETE CHOICE AND RATIONAL INATTENTION: A GENERAL EQUIVALENCE RESULT

This article establishes a general equivalence between discrete choice and rational inattention models. Matějka and McKay (2015) showed that when information costs are modeled using the Shannon entropy, the choice probabilities in the rational inattention (RI) model take the multinomial logit form. We show that, for one given prior over states, RI choice probabilities may take the form of any additive random utility discrete choice model (ARUM) when the information cost is a Bregman information, a class defined in this article. The prior information of the rationally inattentive agent is summarized in a constant vector of utilities in the corresponding ARUM.     

A Look Back at Modern Finance: Accomplishments and Limitations

In a conversation held in June 2016 between Nobel laureate Eugene Fama of the University of Chicago and Joel Stern, chairman and CEO of Stern Value Management, Professor Fama revisited some of the landmarks of “modern finance,” a movement that was launched in the early 1960s at Chicago and other leading business schools, and that gave rise to Efficient Markets Theory, the Modigliani‐Miller “irrelevance” propositions, and the Capital Asset Pricing Model. These concepts and models are still taught at prestigious business schools, whose graduates continue to make use of them in corporations and investment firms throughout the world. But while acknowledging the staying power of “modern finance,” Fama also notes that, even after a half‐century of research and refinements, most asset‐pricing models have failed empirically. Estimating something as apparently simple as the cost of capital remains fraught with difficulty. He dismisses betas for individual stocks as “garbage,” and even industry betas are said to be unstable, “too dynamic through time.” What's more, the wide range of estimates for the market risk premium—anywhere from 2% to 10%—casts doubt on their reliability and practical usefulness. And as if to reaffirm the fundamental insight of the M&M “irrelevance” propositions—namely, that what companies do with the right‐hand sides of their balance sheets “doesn't matter”—Fama observes that “we still have no real resolution on the key questions of debt and taxes, or dividends and taxes.” But if he has reservations about much of modern finance, Professor Fama is even more skeptical about subfields now in vogue such as behavioral finance, which he describes as “mostly just dredging for anomalies,” with no underlying theory and no testable predictions. Although he does not dispute that a number of well‐documented traits from cognitive psychology show up in individual behavior, Fama says that behavioral economists have thus far failed to come up with a testable theory that links cognitive psychology to market prices. And he continues to defend the concept of “efficient markets” with which his name has long been closely associated, while noting that empirically based asset pricing models such as his (with Ken French) “three‐factor” CAPM have produced much better results than the standard CAPM.