Accounting Earnings Processes,Inter-temporal Incentives and Their Implications for Valuation

Accounting measures such as levels and changes in residual earnings are widely used for performance evaluation and executive compensation (Healy, 1985). Quite often, these compensation contracts are of the linear form. In a multiperiod agency setting with hidden actions, where the agent's effort influences the random evolution of a general model of residual earnings, we show that linear compensation contracts based on weighted sum of the levels and changes of residual earnings are indeed optimal. We characterize the contract explicitly and show that the weights are determined by the earnings persistence parameter. Residual earnings are known to be important for valuation too (Ohlson, 1995; Easton and Harris, 1991). In our setting, we demonstrate that residual earnings are also sufficient for valuation. This implies that residual earnings can be used to align incentive goals with valuation objectives. In essence, our paper provides the theoretical underpinnings for linear contracts based on residual earnings and their implications for valuation.     

Choice Based on Goals

This article introduces a goal-based view of consumer choice in which (1) choice is influenced by three classes of goals (consumption goals, criterion goals, and process goals), (2) goals are cognitively represented, and (3) the impact of a goal on choice depends on its activation. For each class of goals, we discuss how goal activation is influenced by direct (subconscious) goal priming, by spreading activation from choice options, from other goals, and from the context, and by goal (non-)achievement. Opportunities for modeling goal-based choice, the integration of emotions in a theory of goal-based choice, and relationships with dual-process theories of decision making are discussed. An expanded version of this paper is available from the first author.     

Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior

In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian estimation. This paper summarizes these developments and discusses their implications for practice.     

Achieving food security in Central Asia — current challenges and policy research needs

This paper introduces the papers of this Special Issue on Achieving Food Security in Central Asia. Identifying the current challenges, it enlists the information gaps and policy research needs for accelerating the reform process in the food, agriculture and natural resource sectors of the Central Asian Republics. The paper concludes by calling for identifying policies and institutional arrangements that facilitate economic reforms that will lead to poverty reduction, increased food security, and sustainable use of natural resources.     

A Balanced Scorecard for State U's Facilities Management Division?*

This case introduces students to building and implementing a balanced scorecard (BSC) in a setting with which they are familiar — cleaning, maintenance, management, and construction of a university's buildings and grounds. Students are asked to construct or critique a BSC for the facilities management division of a university. This may lead to a discussion of the causal linkages implied in the BSC and how one would implement a BSC in a governmental setting.     

Developing Decentralized Capacity for Development Policy Analysis: Lessons for Agricultural Development from Food Security and Nutrition Monitoring in Malawi*

Abstract: Lack of sufficient analytical capacity in most of the developing countries in sub-Saharan Africa has been suggested frequently as a major factor determining the appropriateness of development policy interventions. This paper documents an approach implemented in Malawi for the past three years to develop decentralized capacity to analyze development policies and programs. A conceptual framework for identifying the areas of capacity strengthening in development policy analysis is developed. Generalizable lessons from Malawi's experience in decentralized capacity strengthening arc presented. Various issues that relate to enhancing the efficiency of capacity building programmes in sub-Saharan African are addressed. It is argued that continuous dialogue between development researchers and policy decisionmakers and between the trainers in academic institutions and donor agencies is fundamental for achieving the goals of improved capacity for development policy analysis. Résumé: On avance souvent que l'absence de capacité d'analyse suffisante dans la plupart des pays en développcment d'Afrique subsaharienne constitue l'un des facteurs qui conditionne l'opportunité des interventions en matière de politique de développement. Ce document présente unc approche mise en ocuvre au Malawi au cours des trois dernières années en vuc de développer la capacité décentralisée à analyser les politiques et programmes de développement. Il met au point un cadre conceptuel pour l'identification des domaines nécessitant un appui institutionnel au niveau de 1'analysc des politiques de développement. Des leçons susceptibles d'être généralisées sont tirées de l'expérience du Malawi en matière de renforcement de la capacité décentralisée. Diverses questions ayant trait à l'amélioration de l'efficacité des programmes de renforcement des capacités en Afrique subsaharienne sont abordées. Il est avancé que le dialogue permanent entre chercheurs s'intéressant au développcment et décideurs, et entre formateurs des institutions académiques et organismes d'aide est essentielle pour atteindrc l'objectif d'amélioration de la capacité d'analyse des politiques de développement.     

When consumers and brands talk: Storytelling theory and research in psychology and marketing

Storytelling is pervasive through life. Much information is stored, indexed, and retrieved in the form of stories. Although lectures tend to put people to sleep, stories move them to action. People relate to each other in terms of stories—and products and brands often play both central and peripheral roles in their stories. To aid storytelling research in consumer psychology, this article develops a narrative theory that describes how consumers use brands as props or anthropomorphic actors in stories they report about themselves and others. Such drama enactments enable these storytellers to experience powerful myths that reflect psychological archetypes. The article includes findings from case study research that probes propositions of the theory. Implications for consumer psychology and marketing practice follow the discussion of the findings. © 2008 Wiley Periodicals, Inc.     

Explicit solution of a general consumption/portfolio problem with subsistence consumption and bankruptcy

This paper solves a general continuous-time single-agent consumption and portfolio decision problem with subsistence consumption in closed form. The analysis allows for general continuously differentiable concave utility functions. The model takes into consideration that consumption must be no smaller than a given subsistence rate and that bankruptcy can occur. Thus the paper generalizes the results of Karatzas, Lehoczky, Sethi, and Shreve (1986).     

Investigating a new methodology for ranking international mutual funds

This paper tests the hypothesis that a composite forecast is, at times, more accurate than separate forecasts. The rationale for forecast superiority is that valuable information missing from one model may be captured by the other model. The expected asset returns from the traditional CAPM and the mean-lower partial moment CAPM have been combined to generate a composite systematic risk measure. The measure is then used in Treynor's performance index and tested on a sample of U.S.-based international mutual funds. The results show that the composite beta is a statistically significant and meaningful parameter. However due to sample size, the Wilcoxon signed rank test fails to provide strong evidence that there is a significant difference between Treynor's fund rankings when using the two different asset-pricing models.