A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility

By B. Provencher, K. Baerenklau, Richard C. Bishop. 2002

142 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/f35559a886d6e5b2dd2375e4766825d89e803d84

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Citations in the corpus

Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory (2017, background): “However, when possible, it is desirable to specify a class membership probability model using respondents’ characteristics, as these are more informative for profiling [51], [52], [53], [54].”
EM algorithms for nonparametric estimation of mixing distributions (2008, background): “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).”
Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models (2008, unknown): “…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).”
Valuing genetic resources in peasant economies: the case of ‘hairless’ creole pigs in Yucatan (2003, methodology): “These models originated in market research (Swait, 1994) and have been employed in choice modelling of wilderness recreation (Boxall and Adamowitz, 2002), in the travel cost literature (Provencher et al., 2002), and in choice models of transportation (Greene and Hensher, 2002).”
Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model (2006, unknown): “Provencher et al. (2002) is a latentclass model of site choice estimated with only choice data, not attitudinal data.”
Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences (2005, methodology): “Travel Cost Applications Recent applications of finite mixing include some travel cost studies of recreational site choice (Provencher, Barenklau, and Bishop 2002; Shonkwiler and Shaw 2003; Provencher and Bishop 2004).”
State dependence and heterogeneity in fishing location choice (2005, background): “A recent recreation demand study models taste heterogeneity with serially correlated errors but does not take the extra step to examine the direct influence of past choices on future ones [30].”
Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, methodology): “approach of researchers ( Provencher et al., 2002; Greene and Hensher, 2003; Ouma et al., 2007).1”