Efficient Estimation of Nested Logit Models

1989 ◽  
Vol 7 (1) ◽  
pp. 67 ◽  
Author(s):  
David Brownstone ◽  
Kenneth A. Small
1987 ◽  
Vol 19 (3) ◽  
pp. 395-402 ◽  
Author(s):  
J L Horowitz

The nested or sequential logit model is the only computationally tractable randomutility model that permits correlation among the random components of the utility functions of different alternatives. In this paper, two specification tests are described for nested logit models. One is a test of a maintained model against a nonnested alternative. This test can be used, among other purposes, to discriminate among models with different tree structures. It can be implemented by hand using the results of sequential estimation of the models under consideration. The other test consists of comparing the sequentially estimated parameter values with values produced by an asymptotically efficient estimation technique. This test does not require estimating an alternative to the maintained model.


1996 ◽  
Vol 50 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Joseph A Herriges ◽  
Catherine L Kling

Author(s):  
Kátia Andrade ◽  
Seiichi Kagaya

In Japan, cycling is a widely accepted transportation mode and often used for commuting or other purposes. Accordingly, this paper focuses on the reasons that motivate people to cycle, even though the Japanese transportation policies towards cycling are somewhat limited when compared to other countries with high cycling levels. Behavioural and statistical analyses are presented with a focus on unimodal commuting trips. In the behavioural analysis, commuters’ views on cycling are presented. In the statistical analysis, Nested Logit models are estimated to assess factors with strong influence on cycling. This paper contributes to further understanding the behaviour of active cyclists.


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