The paired combinatorial logit model: properties, estimation and application
By Frank S. Koppelman, Chieh Wen. 2000
305 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/f52a115376f1dbfae08a2e012b9b467494a739ee
How researchers see this paper
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In Economics and Econometrics
- Chandra R. Bhat
- Michel Bierlaire
- Michiel C. J. Bliemer
- Kenneth Train
- Stephane Hess
- Andrew Daly
- Margarita Genius
- John M. Rose
In Transportation
- Chandra R. Bhat
- Michiel C. J. Bliemer
- Michel Bierlaire
- Shlomo Bekhor
- Margarita Genius
- E. Strazzera
- Kenneth Train
- Andrew Daly
Citations in the corpus
- Activity-Based Modeling of Travel Demand (2003, methodology): “The paired combinatorial logit (PCL) model initially proposed by Chu (1989) and recently examined in detail by Koppelman and Wen (1996) generalizes, in concept, the nested logit model by allowing differential correlation between each pair of 48 Handbook of Transportation Science”
- Route Choice Models Used in the Stochastic User Equilibrium Problem: A Review (2004, methodology): “Another GEV-type model, proposed by Chu (1989) and later expanded by Koppelman and Wen (1997), was adapted by Prashker and Bekhor (1998) and Gliebe et al. (1999) to model route choice.”
- The generalized nested logit model (2001, methodology): “The estimation results for the MNL, two NL models (Koppelman and Wen, 1998) and the PCL model (Koppelman and Wen, 2000) are reported in Table 3.”
- Discrete Choice Methods with Simulation by Kenneth E. Train (2003, background): “This simple expression for the ranking probability is an outcome of the particular form of the extreme value distribution, first shown by Luce and Suppes (1965). It does not apply in general; for example, it does not apply with probit models.”
- A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models (2006, methodology): “Several specific GEV structures have been formulated and applied within the GEV class, including the Nested Logit (NL) model (Williams, 1977; McFadden, 1978; Daly and Zachary, 1978), the Paired Combinatorial Logit (PCL) model (Chu, 1990; Koppelman and Wen, 2000), the CrossNested Logit (CNL) model (V”
- Modeling Elicitation effects in contingent valuation studies: a Monte Carlo Analysis of the bivariate approach (2005, methodology): “This model form has been used and analysed under different names by a number of authors, including Small (1987), Vovsha (1997), Vovsha & Bekhor (1998), Koppelman & Wen (2000) , Wen & Koppelman (2001), Ben-Akiva & Bierlaire (2003), Daly & Bierlaire (2003), Bierlaire (2004), and Papola (2004).”
- Impact of Route Choice Set on Route Choice Probabilities (2008, methodology): “The PCL model, proposed by Chu (14), described in further detail by Koppelman and Wen (15) and applied in the route choice context elsewhere (16–18), is a special case of the generalized extreme value model, described by McFadden (19), in which each route alternative is compared with each other rout”
- A General and Operational Representation of Generalised Extreme Value Models (2006, methodology): “Of course, this applies automatically to all special instances of the CNL, such as the paired combinatorial logit model ( Koppelman and Wen, 2000 ), the generalised nested logit model (Wen and Koppelman, 2001), the ordered GEV model (Small, 1987), the link-nested logit model (Vovsha and Bekhor, 1998”