Pulse Fishing and Stock Uncertainty

Large variation in stock dynamics affects the accuracy of stock estimates, which fisheries managers rely on when determining quotas and other regulations. The purpose of this paper is to investigate the implications of uncertainty on pulse fishing. We show that as the variance of the random natural fluctuations increases, the optimal pulse length decreases and converge toward a constant-escapement policy. Hence, in fisheries with large natural variability, a constant-escapement policy is a good approximation of the optimal policy.     

Robust portfolio choice with stochastic interest rates

We determine the optimal investment strategy for an ambiguity-averse investor in a setting with stochastic interest rates. The investor has access to stocks, bonds, and a bank account and he is ambiguous about the expected rate of return of both bonds and stocks. The investor can have different levels of ambiguity aversion about the two types of risky assets. We find that it is more important to take model uncertainty about the stock dynamics than model uncertainty about the bond dynamics into account. Furthermore, the investor’s ambiguity increases his hedging demand. Consequently, the bond/stock ratio increases with his ambiguity and implies less extreme positions in the bank account. Altogether, our model yields portfolio allocations which are more in line with what is implementable in practice. Finally, we demonstrate that neglecting model uncertainty implies significant losses for the investor.     

Towards an understanding of excel functional skills needed for a career in public accounting: Perceptions from public accountants and accounting students

Public accounting firms (e.g., Grant Thornton, 2012) are stressing an interest in recruiting accounting students with a proficiency in Excel. The purpose of this study is to investigate which Excel functions are perceived to be important and useful for new hires to understand prior to starting a job in public accounting. We collect survey data from four large public accounting firms as well as undergraduate and graduate accounting students (i.e., potential new hires) to gauge perceptions of Excel importance, knowledge, and usage in public accounting. We find that employees at the firms believe the most important Excel functions are: basic formula, filter and sort data, vertical (horizontal) lookup, formatting of documents, and If/Then statements. In a comparison of new hires at public accounting firms with accounting students, results suggest that accounting students underestimate the importance and usage of some of these Excel functions. In addition, results suggest that new hires’ perceived knowledge on how to use specific Excel functions in their accounting job is statistically different than students’ perceived knowledge on how to use some of the same Excel functions. Our research contributes to educational accounting literature by documenting which Excel functions employers in public accounting want new hires to know prior to starting a job in public accounting. Also, this research informs accounting educators that students’ perceptions are not the same as public accounting employers’ expectations with respect to analytical skills using Excel technology.     

Who Loses HOPE? Attrition from Georgia's College Scholarship Program

Georgia's lottery-funded HOPE Scholarship program provides free tuition to in-state students who can maintain a B average at state universities. However, roughly half of HOPE Scholars lose their support after their freshman year. This study employs student-level administrative data to identify the observed characteristics that systematically relate to scholarship attrition. Conditional on measures of student ability, there are not statistically significant differences between white, black, and Hispanic students. However, there are dramatic differences across academic disciplines. Students majoring in science, engineering, and computing are 21 to 51 percent more likely to lose their HOPE Scholarships than students in other disciplines.     

The evolution of consumer knowledge and sources of information: Hungary in transition

The authors’ research in Hungary during the period of transition to a market economy provides an opportunity to examine the evolving relationships between consumer product knowledge and its antecedents, including advertising, personal search, interpersonal sources, and brand experience. Their findings, based on survey data collected in Budapest in 1992 and 1998, indicate that the market information variables explain more variance in consumer knowledge later rather than earlier in the transition. Advertising is an important predictor of consumer knowledge later but not earlier in the transition, personal search is important at both times, and interpersonal sources are not important in either time period; brand experience is negatively related to knowledge earlier in the transition and positively related later in the transition. This study allows one to begin to understand the boundary conditions associated with studies conducted in developed economies. Managerial implications for firms investing in transitional economies are presented. Robin A. Coulter (robin.coulter@business.uconn.edu) is Ackerman Scholar and an associate professor of marketing in the School of Business at the University of Connecticut. She received her Ph.D. from the University of Pittsburgh. Her research interests include branding, cross-cultural consumer behavior, advertising, and research methods. Her work has appeared in theJournal of Consumer Research, the Journal of Consumer Psychology, theJournal of Applied Psychology, and theInternational Journal of Research in Marketing. Linda L. Price (llprice@email.arizona.edu) is Soldwedel Professor of Marketing in the Eller School of Management at the University of Arizona. She received her Ph.D. from the University of Texas at Austin. Her research combines qualitative and quantitative methodologies to examine the active, emotional, imaginative aspects of consumers’ decisions and activities, and the social and cultural context of marketplace behaviors. Her work has appeared in theJournal of Consumer Research, Journal of Marketing, and other leading marketing, management, and social science journals. Lawrence Feick (feick@katz.pitt.edu) is a professor of business administration in the Katz Graduate School of Business at the University of Pittsburgh. He received his Ph.D. from Pennsylvania State University. His current research focuses on cross-cultural consumer behavior, consumer word-of-mouth, and referrals. His work has appeared in the Journal of Marketing, theJournal of Marketing Research, the Journal of Consumer Research, Psychological Bulletin, andPublic Opinion Quarterly. Camelia Micu (camelia.micu@business.uconn.edu) is a marketing doctoral candidate at the University of Connecticut. Her research interests include advertising and product trial and cross-cultural consumer behavior.     

Altruism in individual and joint-giving decisions: What's gender got to do with it?

Abstract

This paper uses dictator experiments to examine gender differences in altruistic behavior in the United States when decisions are made individually and jointly. In anonymous individual giving to charity, women give substantially more than men, and in paired settings, mixed-sex groups give the most while all male pairs give the least. Evidence supports social information and negotiation effects as participants change giving toward that of their partners. Social image effects are found only in mixed-sex groups, indicating a gender-based component to the value of the social signal sent. Although men and women appear to have similar influence, the positive social image effect pushes giving in mixed-sex pairs above the sum of the members' individual gifts because the less altruistic partners (usually men) adjust their giving upward more than the more altruistic partners (usually women) reduce giving. Therefore, increasing women's participation in traditionally male spheres of decision making may result in more altruistic economic behavior.     

Women,Ecology and Economics,edited by Ellie Perkins

This paper finds that black women earn 7 percent less than similarly skilled white women because of their race. Even within the same occupational category, black women earn 3 percent less than similarly qualified white women. Black women receive lower pay primarily due to occupational segregation and because they are rewarded with lower earnings than white women for equivalent levels of education and other human capital characteristics.     

Exploiting context-dependent preferences to protect borrowers

Journal of Financial Services Marketing - Focusing bias is one of the key contributors to over-borrowing. It describes how people, when making choices, give disproportionate attention and weight to...     

Expected economic growth and investment in corporate tax planning

Review of Accounting Studies - This study investigates whether expected economic growth is associated with investment in corporate tax planning. We predict that higher expected economic growth...     

Leadership succession planning for today’s digital transformation economy: Key factors to build for competency and innovation

Digital transformation is rapidly changing the competitive landscape and the war on talent for today’s organizations. As part of this economy, organizations and their HR units must continuously reevaluate leadership structures and practices that exploit core competencies while allowing for innovation (i.e., leadership ambidexterity) and incorporate big data with predictive analytics. In this vein, understanding how HR executives can create better solutions around this problem remains sparse. Specifically, what frameworks can HR executives apply to identify potential alignment failures in leadership succession planning in light of newer emerging markets? What internal decision-making traps need to be recognized? Finally, what specific forms of data and evidence must test these plans for relevance and recharge and renew the talent-to-strategy pipeline? In this article, we examine these questions by reviewing the gaps in the literature and identifying through our four-step model how organizations can incorporate ambidexterity-building as a leadership succession planning practice.