Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model
By E. Morey, J. Thacher, William S. Breffle. 2006
234 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/1a065492c751f3cfee07b338785792f412831791
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
- Stephane Hess
- Riccardo Scarpa
- N. Hanley
- Nesha Beharry-Borg
- Eric Ruto
- G. Garrod
- Jette Bredahl Jacobsen
- M. Thiene
In Ocean Engineering
- Jordan J. Louviere
- Stephane Hess
- N. Hanley
- A. Riera
- Eric Ruto
- M. Thiene
- Robert L. Hicks
- Tran Huu Tuan
Citations in the corpus
- Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, methodology): “(Wedel and Kamakura, 2000; Morey et al., 2006 ):”
- Valuing cultural heritage in developing countries: comparing and pooling contingent valuation and choice modelling estimates (2007, methodology): “…frame of the choice occasion (Harrison 2006; Shogren 2006); designing of choice sets and the structure of choice occasion (Hensher 2006); modelling of preference heterogeneity (Morey et al. 2006; Provencher and Moore 2006); and embracing model uncertainty (Layton and Lee 2006; Louviere 2006).”
- Latent class model or mixed logit model? A comparison by transport mode choice data (2009, background): “Alternatively, the Latent Class Model (LCM), which is frequently applied in marketing research, assumes that a discrete number of latent classes are sufficient to account for preference heterogeneity (see, for instance, Boxall and Adamowicz, 2002; Morey et al., 2006, etc.).”
- Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture (2009, background): “Other recent LC applications include Morey et al (2006), Milon and Scrogin (2006) and Ruto et al (2008) .”
- The influence of social relationships on pro-environment behaviors (2012, background): “To determine the number of latent classes among the models that fit the data, we use the Bayesian information criterion (BIC) based on the model’s log- 8 Recent applications in the economics literature of latent models (also known as finite-mixture models) include Clark, Etile, Postel-Vinay, Senik a”
- Heterogeneous preferences for water quality attributes: The Case of eutrophication in the Gulf of Finland, the Baltic Sea (2010, background): “The increasingly popular models are random parameters (or mixed) logit model (RPL) and latent class model (LCM) (e.g. Birol et al., 2006; Milon and Scrogin, 2006; Morey et al., 2006; Wang et al., 2007).”
- Valuing animal genetic resources: a choice modeling application to indigenous cattle in Kenya (2007, methodology): “More recently, latent class models have been used in travel cost revealed preference studies (e.g., Morey et al., 2006; Provencher et al., 2002; Scarpa and Thiene, 2005) and stated preference applications (for an application in food choice see Hu et al., 2004).”
- Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models (2008, unknown): “employed in more traditional fixed parameter logit models (Wedel et al. 1999; Greene and Hensher 2003; Morey, Thacher, and Breffle 2006 ).”
- Determinants of households’ investment in energy efficiency and renewables: evidence from the OECD survey on household environmental behaviour and attitudes (2015, background): “A description and demonstration of LCA in the context of environmental attitudes can be found in Morey et al (2006). are real and technological innovations are key to solving them (Green Growthers) (OECD 2013).”
- Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago (2012, background): “Alternatively, one may also make use of only the attitudinal data without the choice data to estimate the latent classes (Morey et al., 2006, 2008).”