Alternative nested logit models: structure, properties and estimation

Transportation Research Part B: Methodological

Volumn 32B, Issue 5, 1998, Pages 289-298

  Koppelman, Frank S ^a   Wen, Chieh Hua ^a  

^a Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE CHOICE ANALYSIS; NESTED LOGIT ANALYSIS; TRAVEL DEMAND;

ESTIMATION; MATHEMATICAL MODELS; OPERATIONS RESEARCH; PROBABILITY; PUBLIC POLICY; RAILROAD CARS;

DISCRETE CHOICE ANALYSIS; INTERCITY RAIL; MCFADDEN NESTED LOGIT MODEL; RANDOM UTILITY THEORY; TRAVEL DEMAND;

TRANSPORTATION;

EID: 0032083791     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0191-2615(98)00003-4     Document Type: Article

References (23)

1. Aptech Systems (1993) GAUSS: User's Guide. Aptech Systems.
2. Ben-Akiva, M. and Francois, B. (1983) μ Homogeneous generalized extreme value model. Working paper, Department of Civil Engineering, MIT, Cambridge.
3. Ben-Akiva, M. and Lerman, S. R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press, Cambridge.
4. Bierlaire, M. (1995) A Robust Algorithm for the Simultaneous Estimation of Hierarchical Logit Models. Technical Report, Department of mathematics, FUNDP, Namar, Belgium.
5. Bierlaire, M. and Vandevyvere, Y. (1995) HieLoW: the Interactive User's Guide. Transportation Research Group, FUNDP, Namur.
6. Börsch-Supan, A. (1990a) On the compatibility of nested logit models with utility maximization. Journal of Econometrics 32, 371-387.
7. Börsch-Supan, A. (1990b) HLOGIT Documentation.
8. Brownstone, D. and Small, K. A. (1989) Efficient estimation of nested logit model. Journal of Business and Economic Statistics 7, 67-74.
9. Daly, A. (1987) Estimating 'tree' logit models. Transportation Research 21B, 251-267.
10. Daly, A. and Zachary, S. (1978) Improved multiple choice models. In Determinants of Travel Choice, eds. D. A., Hensher and M. Q., Dalvi. Saxon House, Sussex.
11. Forinash, C. V. and Koppelman, F. S. (1993) Application and interpretation of nested logit models of intercity mode choice. Transportation Research Record 1413, 98-106.
12. Econometric Software (1996) LIMDEP V7.0. Econometric Software, Bellport NY.
13. Hague Consulting Group (1988) ALOGIT: User's Guide. HCG, The Hague.
14. Hague Consulting Group (1992) ALOGIT: User's Guide. HCG, The Hague.
15. Hague Consulting Group (1995) ALOGIT: User's Guide. HCG, The Hague.
16. Hensher, D. A. (1991) Efficient estimation of hierarchical logit mode choice model. Proceedings of the Japanese Society of civil Engineering 425, 17-28.
17. Herriges, J. A. and Kling, C. L. (1996) Testing the consistency of nested logit models with utility maximization. Economics Letters 50, 33-39.
18. Kling, C. L. and Herriges, J. A. (1995) An empirical investigation of the consistency of nested logit models with utility maximization. American Journal of Agricultural Economics 77, 875-884.
19. McFadden, D. (1973) Conditional logit analysis of qualitative choice behavior. In Frontiers in Econometrics, ed. P. Zarembka. Academic Press, New York.
20. McFadden, D. (1978) Modeling the choice of residential location. Transportation Research Record 672, 12-11.
21. McFadden, D. (1981) Econometric models of probabilistic choice. In Structural Analysis of Discrete Data, eds. C. F. Manski and D. McFadden. The MIT Press, Cambridge MA.
22. Ortuzar, J. D. (1983) Nested logit models for mixed-mode travel in urban corridors. Transportation Research 17A, 283-299.
23. Yai, T., Iwakura, S. and Morichi, S. (1997) Multinomial probit with structured covariance for route choice behavior. Transportation Research 31B, 195-207.