Heterogeneity distributions of willingness-to-pay in choice models

By Garrett P. Sonnier, Andrew Ainslie, Thomas Otter. 2007

214 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/5330bba807b8083d173539182a29610691b90605

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. Stephane Hess
2. Riccardo Scarpa
3. John M. Rose
4. Kenneth Train
5. Jordan J. Louviere
6. M. Thiene
7. Michael P. Keane
8. Nada Wasi

In General Decision Sciences

1. Kenneth Train
2. Denzil G. Fiebig
3. Michael P. Keane
4. Riccardo Scarpa
5. Jordan J. Louviere
6. Nada Wasi
7. Stephane Hess
8. M. Thiene

In Marketing

1. Kenneth Train
2. Stephane Hess
3. Michael P. Keane
4. Riccardo Scarpa
5. Jordan J. Louviere
6. Chandra R. Bhat
7. John M. Rose
8. Nada Wasi

Citations in the corpus

• Preferences for urban green spaces and peri-urban forests: An analysis of stated residential choices (2016, result): “…models provide more reaonable estimated WTP values with distributions that have lower ensities associated with extreme values (Train & Weeks, 2005), hereas other studies found that applying estimations in WTP pace made their models fit the data less well (Sonnier et al., 2007; rain & Weeks, 2005).”
• Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps (2008, methodology): “Our results confirm previous findings obtained by Train and Weeks (2005) and Sonnier, Ainslie, and Otter (2007) that the models in WTP space provide estimates of WTP distributions that have lower densities associated with extreme WTP values than the models in preference space.”
• Online Demand Under Limited Consumer Search (2010, unknown): “Rouwendal (2006) and Sonnier et al. (2007) warn that inferences on”
• The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity (2010, background): “How best to do this in random coefficient models has recently been an active area of research (see, e.g., Sonnier et al. 2007 ).”
• COMPARING ALTERNATIVE MODELS OF HETEROGENEITY IN CONSUMER CHOICE BEHAVIOR (2012, methodology): “Finally, it is important to note that this model differs from the model of Sonnier et al. (2007) or Train and Weeks (2005). Theirs are still the mixed logit model in (3), but with an alternative normalization used to achieve identification. Instead of setting the scale parameter to one as in the sta”