The growth in female labour particpation and occupational attainment represents the most dramatic feature of labour markets in the second half of the twentieth century. This has been due in part to developments in social attitudes and the consequent changes in the prices attached to womens’ characteristics, and in part to changes in those characteristics themselves. This paper analyses these is...

This paper uses data on automobile purchases to compare two alternatives to the multinomial logit model. The results indicate that the nested logit model is likely to be superior to the more general Berry–Levinsohn–Pakes model for applications using aggregate-level data.  2000 Elsevier Science S.A. All rights reserved.

This paper explores hypotheses of hierarchical migration using data from the Alaskan Arctic. We focus on migration of Iñupiat people, who are indigenous to the region, and explore the role of income and subsistence harvests on migration. To test related hypotheses we use confidential micro‐data from the US Census Bureau’s 2000 Decennial Census of Population and Income and generate migration pro...

In the current paper, we propose a new utility-consistent modeling framework to explicitly link a count data model with an event type multinomial choice model. The proposed framework uses a multinomial probit kernel for the event type choice model and introduces unobserved heterogeneity in both the count and discrete choice components. Additionally, this paper establishes important new results ...

BACKGROUND Additional insights into patient preferences can be gained by supplementing discrete choice experiments with best-worst choice tasks. However, there are no empirical studies illustrating the relative advantages of the various methods of analysis within a random utility framework. METHODS Multinomial and weighted least squares regression models were estimated for a discrete choice e...

The analysis of air-passengers’ choices of departure airport in multi-airport regions is a crucial component of transportation planning in many large metropolitan areas, and has been the topic of an increasing number of studies over recent years. In this paper, we advance the state of the art of modelling in this area of research by making use of a Cross-Nested Logit (CNL) structure that allows...

Abstract-A discrete choice model is presented that explicitly recognizes differences in the error structure associated with a single “oddball” alternative within the choice set that has properties not common to the other alternatives. The model purportedly resolves questions related to the use of alternative-specific variables in transportation choice models to capture the effects of attributes...

Discrete choice methods model a decision-maker's choice among a set of mutually exclusive and collectively exhaustive alternatives. They are used in a variety of disciplines (transportation, economics, psychology, public policy, etc.) in order to inform policy and marketing decisions and to better understand and test hypotheses of behavior. This dissertation is concerned with the enhancement of...

Numerous studies have demonstrated that firms consider multiple criteria when selecting key suppliers. In this study, we present, based on econometric choice modeling framework, how manufacturing managers/executives tradeoff between cost, delivery, flexibility, and service features in the supplier selection process, given acceptable quality. Empirical data for this study was collected from manu...

The nested logit model has been used extensively to model multi-dimensional choice situations. A drawback of the nested logit model is that it does not allow choice alternatives to share common unobserved attributes along all the dimensions characterizing the multi-dimensional choice context. This paper formulates a mixed multinomial logit structure that accommodates unobserved correlation acro...