The Sheldon effect: fixed mindset does not always mean fragile confidence

ABSTRACT

More than just intelligence is needed to learn accounting. We see from prior work that the non-cognitive aspects of learning can influence the experience for accounting students. We investigate by survey both self-efficacy beliefs [Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215] and mindset [Dweck, C. (2006). Mindset: The new psychology of success. Random House] relative to academic performance of accounting students in a first year university course. Analysis of the data shows that mindset is not a predictor of academic success, whereas self-efficacy beliefs have explanatory power. Dweck [2000. Self-theories: Their role in motivation, personality, and development. Psychology Press; 2006. Mindset: The new psychology of success. Random House] claims that students with a fixed mindset also will have fragile confidence. By measuring both self-efficacy beliefs and mindset together, we provide evidence that this may in fact not be the case. Students can have a fixed mindset and high confidence towards learning accounting.     

The impact of accounting rule and economic differences on the firm’s choice of cash and share-puts

While prior literature has sought to explain why firms issue put options on their own stock (Gibson et al., 2006), no one has focused on examining why some firms choose to structure put contracts in a way that provides them the ability to settle future put obligations with their own common equity rather than cash. FAS 150, which changed the reporting requirements, highlights that under the prior rules firms included share-settlement terms in their put contracts to avoid showing their open put position as a balance sheet obligation. However, some evidence suggests that the choice between including cash or share settlement terms may be economically driven by the potential impact that each settlement-type has on firm solvency and equity holdings. Our results support the economic-based motivation for put-type choice by showing that firms elect to include share-settlement terms in their put contracts to provide themselves payment flexibility in the event internally generated cash flows are not sufficient to meet future contractual put obligations. These results support the FASB’s announcement that it is reconsidering homogeneous liability classification of cash and share-settled puts in its re-examination of FAS 150.     

The development and diffusion of customer relationship management (CRM) intelligence in business-to-business environments

CRM data is among the most important and comprehensive information available to management in many organizations. This is particularly the case in business-to-business marketing, where the firm's extended working relationship with its customers is frequently crucial for the maintenance of a healthy business. However, in many instances management has treated CRM data as highly specific to its client relationships and has therefore neglected to analyze this information across market segments, customer categories, and customer–firm relationship forms in order to draw meaningful conclusions for driving business decisions.     

The Impact of Nobel Prize Winners in Economics: Mainline vs. Mainstream

We assess the impact of two groups of economists: mainline economists, who regard economics primarily as the science of exchange and mainstream economists, who perceive economics primarily as the science of choice. To control for scholarly quality we investigate the citation impact of Nobel Prize winning economists, who we break up into the two groups, mainline and mainstream. We find that over the period from 1970 to 2007 mainline economists had more of an impact than mainstream economists.     

Non-linearity of scorecard log-odds

The use of linear and log-linear models for scorecard construction is nearly universal. In this paper we address the question of non-linearity in the distribution of a scorecard’s inferred log-odds to score relationship. Linear scorecards are excellent and robust ranking tools, but the inferred default probabilities are increasingly used in day-to-day business operations — within account-level strategies, for cutoff setting, and for capital allocation. All of these uses are dependent upon the accurate estimation of the probability of default, which is a quality independent of a model’s ranking performance.In this paper we illustrate this phenomenon of a misaligned log-odds relationship within a model built using a method which is standard in retail banking. The sequential elimination of correlated variable bins results in an improved estimation, at the cost of the model’s ranking performance. A post-hoc quadratic transformation of the scores improves the model fit without affecting the ranking performance, but may prove difficult to apply in current operational systems.     

An Assessment of the Psychometric Properties of the Perceived Stress Scale‐10 (PSS10) with Business and Accounting Students

Using a sample of 557 undergraduate business students from three U.S. comprehensive universities, this study examined: (a) the factor structure of the Perceived Stress Scale‐10 (PSS10; Cohen and Williamson, 1988); (b) the invariance of its factor structure; (c) the scale's reliability; and (d) its convergent and divergent validity. Confirmatory factor analyses supported a structure with two primary factors, General Distress and Ability‐to‐Cope, loading on a single second‐order factor, Perceived Stress. Furthermore, this model was confirmed for designated subpopulations including the 264 accounting majors who participated in the study. Notably absent in prior research, this study found two items, numbers 2 and 9, to load significantly on both the General Distress and Ability‐to‐Cope factors with men and the full sample, respectively. Item–total correlations, coefficient alphas, and Spearman‐Brown reliability coefficients supported the reliability of the items loading on the full scale as well as on each of the two primary factors. Combined, these findings provide compelling evidence in support of the PSS10 as a stress assessment measure for business students in general, and accounting students in particular. In fact, given its practical expediency in terms of administration and scoring, the PSS10 appears to be a tool that could be used by university administrators and potentially by human resource personnel at accounting and business organizations to assess student/employee perceived stress levels before the onset of burnout tendencies, thus facilitating more timely and cost‐effective intervention strategies.     

Residential mortgage default: Theory works and so does policy

Using a national loan level data set we examine loan default as explained by local demographic characteristics and state level legislation that regulates foreclosure procedures and predatory lending, using a hierarchical linear model. When controlling for loan and local conditions, we observe significant variation in the default rate across states, with lower default levels in states with higher temporal and financial costs to lenders. State level legislative influences provide a foundation for discussion of national level policy that further regulates predatory lending and financial institution foreclosure activities.     

Efficiency of the California electricity reserves market

We test the efficiency of the California electricity reserves market by examining systematic differences between its day- and hour-ahead prices. We uncover significant day-ahead premia, which we attribute to market design characteristics. On the demand side, the market design established a principal–agent relationship between the markets' buyers (principal) and their supervisory authority (agent). The agent had very limited incentives to shift reserve purchases to the lower priced hour-ahead markets. On the supply side, the market design raised substantial entry barriers by precluding purely speculative trading and by introducing a complicated code of conduct that induced uncertainty about which actions were subject to regulatory scrutiny. We use a high-dimensional vector moving average model to estimate the premia and conduct correct inferences. To obtain exact maximum likelihood estimates of the model, we develop a new EM algorithm that seamlessly incorporates missing data and applies directly to general moving average time series models. Our algorithm uses only analytical expressions: the Kalman filter and a fixed interval smoother in the E step and least squares-type regressions in the M step. Copyright © 2007 John Wiley & Sons, Ltd.