EFFICIENT ESTIMATION OF HIERARCHICAL LOGIT MODE CHOICE MODELS

Author:

HENSHER David A.1

Affiliation:

1. Transport Research Centre and Graduate School of Management, Macquarie University

Publisher

Japan Society of Civil Engineers

Reference34 articles.

1. 1) Amemiya, T.: Qualitative response models: a survey, Journal of Economic Literature, XIX, pp. 1483-1536. December 1981.

2. 2) Ben-Akiva, M. E.: Passenger travel demand forecasting: applications of disaggregate models and directions for research, World Conference on Transport Research, Rotterdam, pp. 183-193, April 1977.

3. 3) Boersch-Supan, A.: The Demand for Housing in the United States and West-Germany: A Discrete Choice Analysis, Unpublished PhD thesis, Department of Economics, MIT, June 1984.

4. 4) Boersch-Supan, A.: Hierarchical choice models and efficient sampling: with applications on the demand for housing, Methods of Operations Research, 50, pp. 175-186, 1985.

5. 5) Brownstone, D. and Small, K. A.: Efficient estimation of nested logit models, School of Social Sciences, University of California at Irvine, June 1985.

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1. Nested Logit Models Which Are You Using?;Transportation Research Record: Journal of the Transportation Research Board;1998-01

2. Microeconometric Modeling;Consumers’ Spatial Choice Behavior;1995

3. A HIERARCHICAL MODEL FOR THE FULL RANGE CHOICE OF SHOPPING TRAVEL BEHAVIOR;Doboku Gakkai Ronbunshu;1993-07-20

4. Using stated response choice data to enrich revealed preference discrete choice models;Marketing Letters;1993-04

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