The generalized nested logit model

By Chieh Wen, Frank S. Koppelman. 2001

544 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/ed73a2eb84f594dc85d0b1addf2a9e257894f5ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Tien Mai
2. Chandra R. Bhat
3. Stephane Hess
4. Michel Bierlaire
5. John W. Polak
6. Andrew Daly
7. Shlomo Bekhor
8. Jessica Y. Guo

In General Decision Sciences

1. John W. Polak
2. Paulo Natenzon
3. Dick Ettema
4. Andrew Daly
5. Tien Mai
6. Michel Bierlaire
7. Emmanuel Abbe
8. Chandra R. Bhat

In Marketing

1. Paulo Natenzon
2. Dick Ettema
3. John W. Polak
4. Andrew Daly
5. Tien Mai
6. Michel Bierlaire
7. Emmanuel Abbe
8. Chandra R. Bhat

Citations in the corpus

• BIOGEME: a free package for the estimation of discrete choice models (2003, methodology): “Recently, research on the Cross-Nested logit model (Small, 1987, Vovsha, 1997, Vovsha and Bekhor, 1998, Ben-Akiva and Bierlaire, 1999, Papola, 2000, Bierlaire, 2001, Wen and Koppelman, 2001, Swait, 2001) has extended the number of GEV models used in practice.”
• A method of integrating correlation structures for a generalized recursive route choice model (2016, methodology): “…are the MNL, the nested logit ( Ben-Akiva, 1973 ), the paired combinatorial logit ( Koppelman and Wen, 20 0 0 ), the generalized nested logit ( Wen and Koppelman, 2001 ), the ordered MEV model ( Small, 1987 ), the cross-nested logit model ( Vovsha and Bekhor, 1998 ) and the GenL model (…”
• A General and Operational Representation of Generalised Extreme Value Models (2006, methodology): “In the special case of the cross-nested logit model, our results match those presented by Wen and Koppelman (2001) .”
• A MIXED SPATIALLY CORRELATED LOGIT MODEL: FORMULATION AND APPLICATION TO RESIDENTIAL CHOICE MODELING (2004, methodology): “Wen and Koppelman (2001) illustrate the general nature of the GNL formulation by deriving the other GEV models mentioned earlier as special restrictive cases of the GNL model or as approximations to restricted versions of the GNL model.”
• Modeling Timing and Duration of Activities and Trips in Response to Road-Pricing Policies (2004, methodology): “The MNL model could in principle be replaced by a more general model structure such as the mixed MNL (12) or developments of the generalized extreme value family (13) without materially changing the overall approach.”
• Normalization and correlation of crossnested logit models (2007, methodology): “In this paper, we prefer a formulation which combines the GEV form of Ben-Akiva and Bierlaire (1999), and the simple normalization condition of Wen and Koppelman (2001).”
• Random Choice as Behavioral Optimization (2014, background): “11 Generalizations, such as the cross-nested logit model, allow for correlations in the underlying distribution of utilities to address phenomena related to the duplicates problem (see, e.g., Ben-Akiva and Lerman (1985), Wen and Koppelman (2001), and Train (2009)).”