Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Book of Intdernational Economics Affairs: MULTINATIONAL ENTERPRISES — A CONTINUING SAGA

AMERICAN MULTINATIONALS AND AMERICAN INTERESTS, by C. Fred Bergsten, Thomas Horst and Theodore H. Moran ALTERNATIVES TO THE MULTINATIONAL ENTERPRISE, by Mark Casson THE ECONOMICS OF MULTINATIONAL ENTERPRISE, by Neil Hood and Stephen Young     

Using Content Analysis to Understand the Consumer Movement

Drawing on the work of Jenkins and Perrow, a content analysis of information in the New York Times Index is examined to analyze the environment of the consumer movement in the United States over a fourteen-year period. The results suggest that a fundamental change has occurred in the movement, with less visible activism and less overt business support being provided.     

ERROR-CORRECTION, ⇐ SURPRISE ⇒ MODELS AND THE DIFFERENTIAL APPROACH TO THE CONSUMPTION FUNCTION(*)

The paper provides a general theoretical framework that allows a comparison and a possible reconciliation of error correction models of consumers’behaviour and the life cycle hypothesis under rational expectations. It is suggested that by relaxing the assumption of intertemporally strongly separable and homothetic preferences, a generalization of Hall's random walk model can be derived, containing an error correction mechanism.