Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach

By Peter Boxall, Wiktor L. Adamowicz. 2002

1,321 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Transportation

View Paper: https://www.semanticscholar.org/paper/2ad3cffec1ce1cc30c91db0b8580961955f37c5b

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. John M. Rose
3. Riccardo Scarpa
4. N. Hanley
5. André Hackbarth
6. Reinhard Madlener
7. Nesha Beharry-Borg
8. David A. Hensher

In Management, Monitoring, Policy and Law

1. John M. Rose
2. N. Hanley
3. S. Colombo
4. Jordan J. Louviere
5. Stephane Hess
6. A. Kosenius
7. Bert van Wee
8. E. Birol

In Transportation

1. Stephane Hess
2. Riccardo Scarpa
3. Bert van Wee
4. Reinhard Madlener
5. André Hackbarth
6. John M. Rose
7. M. Thiene
8. S. Garcia

Citations in the corpus

• Investigating farmers' preferences for the design of agri-environment schemes: a choice experiment approach (2008, background): “The latent class model (LCM), on the other hand, postulates a discrete distribution of tastes in which individuals are intrinsically sorted into a number segments (or classes), each characterised by homogenous segments, though heterogeneous across segments (Boxall and Adamowicz 2002).”
• Willingness-to-Pay for Alternative Fuel Vehicle Characteristics: A Stated Choice Study for Germany (2014, methodology): “Hence, the general methodological approach of the LCM is described briefly in the following, drawing directly from Swait (1994, 2007), Boxall and Adamowicz (2002), Greene and Hensher (2003), Bujosa et al.”
• Valuing animal genetic resources: a choice modeling application to indigenous cattle in Kenya (2007, background): “Boxall and Adamowicz (2002), in an application investigating the choice of outdoor recreation, use factor analysis to provide estimates of motivational determinants of recreational trips to wilderness that are then used in the specification of the segment membership likelihood function.”
• Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture (2009, background): “However, as point out by Boxall and Adamowicz (2002) the assumption of parameter equality across segments is contrary to the spirit of latent class model since a researcher would not want to impose utility parameter equality.”
• Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models (2008, neutral): “…to address heterogeneity of preference in a fashion that can be more promptly communicated to managers and does not involve complex estimation methods, LCM applications were also put forward (Boxall and Adamowicz 2002; Provencher, Baerenklau, and Bishop 2002; Morey, Thacher, and Breffle 2006).”
• Heterogeneous preferences for water quality attributes: The Case of eutrophication in the Gulf of Finland, the Baltic Sea (2010, background): “welfare is affected by the changes in the environmental state (Boxall and Adamowicz, 2002).”
• EM algorithms for nonparametric estimation of mixing distributions (2008, neutral): “For a given number of points C called 2Examples of latent class models with logit kernels are Swait (1994), Bhat (1997), Swait and Adamowicz (2001), Boxall and Adamowicz (2002), Greene and Hensher (2002), Provencher et al. (2002), Shonkwiler and Shaw (2003), and Shen et al. (2006).”