Recovering Hicksian Consumer Surplus within a Collective Model: Hausman's Method for the Household

The purpose of this paper is to describe the implications of the collective model of household behavior for the methods used to estimate the economic value of non-marketed environmental resources. After demonstrating how the separability restrictions inherent in the collective model allow individual preference and household income allocation choices to be distinguished, the paper demonstrates how the framework can be used to recover Hicksian consumer surplus. An algebraic example is used to illustrate how the framework can be used in valuing environmental resources.     

A theory of natural addiction

Economic theories of rational addiction aim to describe consumer behavior in the presence of habit-forming goods. We provide a biological foundation for this body of work by formally specifying conditions under which it is optimal to form a habit. We demonstrate the empirical validity of our thesis with an in-depth review and synthesis of the biomedical literature concerning the action of opiates in the mammalian brain and their effects on behavior. Our results lend credence to many of the unconventional behavioral assumptions employed by theories of rational addiction, including adjacent complementarity and the importance of cues, attention, and self-control in determining the behavior of addicts. We offer evidence for the special case of the opiates that “harmful” addiction is the manifestation of a mismatch between behavioral algorithms encoded in the human genome and the expanded menu of choices faced by consumers in the modern world.     

The rank and model specification of demand systems: an empirical analysis using United States microdata

A rank-three demand system is estimated with United States Consumer Expenditure Survey microdata. A unique price data set is also used, which permits the analysis of effects of systematic errors in price variables. It is found that errors in price variables bias test results for the rank-three hypothesis, in particular towards rejection. Other test results are affected to a lesser extent. Estimating smaller systems of demand equations, even when conditioning on excluded goods, yields significantly different results. Another important conclusion is that model specification is statistically significantly different for households of varying family sizes and housing tenure statuses. JEL Classifications: C31, D12.
Le rang et la spécification du modèle des systèmes de demande: une analyse empirique utilisant des microdonnées américaines. On calibre un système de demande de rang trois à l'aide de microdonnées américaines tirées de la United States Consumer Expenditures Survey. Un ensemble unique de prix est utilisé afin de permettre l'analyse des effets d'erreurs systématiques dans les variables de prix. Il appert que les erreurs dans les variables de prix distorsionnent les résultats du test de l'hypothèse de rang trois en faveur d'un rejet. D'autres résultats de tests sont affectés à un moindre degré. Si l'on calibre de plus petits systèmes d'équations de demande, même en posant des conditions sur des biens exclus, des résultats qui diffèrent de manière significative s'ensuivent. Une autre conclusion importante est que la spécification du modèle est différente de manière statistiquement significative pour les ménages selon la taille de la famille et le statut domiciliaire.     

OPPORTUNISTIC MATCHING IN THE HOUSING MARKET*

We construct a model of the housing market in which agents differ in their flow values while searching. Agents enter the market relaxed (with high flow values) but move to a desperate state (low flow values) at a Poisson rate if they have not already transacted. We characterize the equilibrium steady‐state matching pattern and the joint distribution of price and time to sale (for sellers). The expected price conditional on time to sale falls with time spent on the market, whereas the conditional variance of price first rises and then falls with time on the market.     

Editorial

Editorial Introduction

Editorial     

Probable evolution of artificial-intelligence-based educational devices

The potential capabilities of artificial-intelligence-based educational devices are briefly described, and a technical forecast of an advanced instructional work station's attributes is presented. Forces driving implementation are delineated, and likely long-term consequences of adoption are assessed. The barriers that impede this evolution are discussed, and policy options are analyzed.     

Ethical reflection and service internships

To achieve the goals of ethics education, students must have oportunities to develop both moral capacities (imagination, responsibility, and perseverance) and intellectual capacities (critical thinking). This article contends that service-based learning represents an important opportunity for integrative ethics education. It describes a program of leadership internships at North Central College in Naperville, Illinois, in which faculty members conduct a for-credit reflection seminar with students involved in service internships. The seminar is based upon student-written cases about ethical issues they face in their work settings.David C. Smith is Executive Vice President of the Council for Ethics in Economics, an association of leaders in busienss and the professions dedicated to strengthening the ethical fabric of business and economic life. Prior to joining the Council in August, 1994, he was Director of the campus-wide Leadership, Ethics, and Values Program at North Central College in Naperville, Illinois.     

Can Oxford heal itself?

The fast-growing HMO was hammered on Wall Street after revealing its massive computer problems. Those foul-ups are being fixed, but now comes the hard part--reclaiming the trust of stunned shareholders and outraged doctors.