Hispanic Ethnicity,English‐Skill Investments,and Earnings

Analyzing synthetic cohorts in the 1980 and 1990 Public Use Microdata Samples, we find that Mexican‐Americans and other Hispanics acquired English fluency at a faster pace than Puerto Ricans and Cuban‐Americans during the 1980s. Additional results indicate that English‐skill investments differently influenced the earnings distributions of these ethnic groups.     

Inter-industry technology flows in the US food-processing industries

The study examines the origins of technology important to improving productivity in the food-processing industries. Technology flows were measured both by patents in patent classes closely identified with six food industries, and by a sample of significant food-processing innovations. These data are consistent with the hypothesis that interindustry technology flows are the most significant determinant of productivity improvements in the food industries. These findings solve the enigma that the food-processing industries have enjoyed rapid improvements in productivity despite making very modest investments in research and development.     

The Elasticity of Marginal Utility of Consumption: Estimates for 20 OECD Countries*

In social project appraisal, the policy profile of both distributional welfare weights and the social discount rate has risen considerably in recent years. This fact has important implications for the allocation of funds to social projects and policies in countries, and in unions of countries such as the EU. A key component in the formulae for both welfare weights and the social discount rate is the elasticity of marginal utility of consumption, e. A critical review of existing evidence on e suggests that the UK Treasury's preferred value of unity is too low. New evidence presented in this paper, based on the structure of personal income tax rates, suggests that, on average, for developed countries e is close to 1.4. This particular approach to the estimation of e has previously been under‐utilised by researchers.     

Neuroeconomics: Why Economics Needs Brains

Neuroeconomics uses knowledge about brain mechanisms to inform economic theory. It opens up the “black box” of the brain, much as organizational economics opened up the theory of the firm. Neuroscientists use many tools—including brain imaging, behavior of patients with brain damage, animal behavior and recording single neuron activity. The key insight for economics is that the brain is composed of multiple systems which interact. Controlled systems (“executive function”) interrupt automatic ones. Brain evidence complicates standard assumptions about basic preference, to include homeostasis and other kinds of state‐dependence, and shows emotional activation in ambiguous choice and strategic interaction.     

Strategy as Simulacra? A Radical Reflexive Look at the Discipline and Practice of Strategy*

ABSTRACT Over the past three decades strategic management has become a crucial aspect of business education and practice. At the core of strategic management – linking technique to worldview – is modelling (e.g. value chain, SWOT analysis) whereby the complex elements of strategic thinking are simplified. This accounts in large part for the apparent popularity of strategic management as complex interrelationships are pursued through relatively simple models. Yet has the field of strategic management realized the third order of simulacra? Is strategic management a model of simulation whereby reality has been replaced by hyperreality? A review of the extant literature on strategy explores the study and practice of strategy as a discourse, engulfed by its own truth effects. An examination of the concepts of reflexivity demonstrates the value of a postmodern radical reflexive account through the application of Baudrillard's (1983 , 1988 , 1991 , 1994 ) simulation and simulacra. It is through the development of a radical reflexive discourse of strategy as simulacra, this paper critically examines the study and practice of strategy and the lessons we can take from this perspective.     

DYNAMIC ASSET ALLOCATION AND CONSUMPTION CHOICE IN INCOMPLETE MARKETS*

We study the optimal investment and consumption problem of a CRRA investor when the drift and volatility of the stock are driven by a correlated factor. The myopic and non‐myopic components of the optimal portfolio process are characterised in terms of the market price of traded and non‐traded risk of the minimax martingale measure. We find that the optimal policies depend crucially on the nature of the agent, aggressive versus conservative, and the market incompleteness, improving versus deteriorating investment opportunities. Furthermore, we show that the original problem cannot be decomposed into a pure consumption and a pure terminal wealth problem, unless the market is complete.