A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models

References

1. 1. American Automobile Association (AAA)

   . 2005. “Despite Higher Gas Prices, 2005 Driving Costs Nearly Unchanged From 2004, AAA Says.” Available at www.aaanewsroom.net/main/Default.asp?CategoryID=4&ArticleID=361 (accessed March 2007).
2. 1. Baerenklau Kenneth A.,
   2. González-Cabán Armando,
   3. Paez Catrina,
   4. Chavez Edgar

   . 2010. “Spatial Allocation of Forest Recreation Value.” Journal of Forest Economics 16 (2): 113–26.

   OpenUrl
3. 1. Blundell Richard,
   2. Stoker Thomas M.

   2005. “Heterogeneity and Aggregation.” Journal of Economic Literature 43 (2): 347–91.

   OpenUrlCrossRefWeb of Science
4. 1. Böckenholt Ulf

   . 1993. “A Latent-Class Regression Approach for the Analysis of Recurrent Choice Data.” British Journal of Mathematical & Statistical Psychology 46 (1): 95–118.

   OpenUrl
5. 1. Böckenholt Ulf

   . 1999. “Mixed INAR(1) Poisson Regression Models: Analyzing Heterogeneity and Serial Dependencies in Longitudinal Count Data.” Journal of Econometrics 89 (1–2): 317–38.

   OpenUrl
6. 1. Boxall Peter C.,
   2. Adamowicz Wiktor L.

   2002. “Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach.” Environmental and Resource Economics 23 (4): 421–46.

   OpenUrlCrossRefWeb of Science
7. 1. California Secretary of State

   . 2000. “Statement of Vote 2000 Primary Elections.” Available at www.sos.ca.gov/elections/sov/2000_primary/index.htm (accessed March 2007).
8. 1. Cameron A. Colin,
   2. Trivedi Pravin K.

   1986. “Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests.” Journal of Applied Econometrics 1 (1): 29–53.

   OpenUrlCrossRef
9. 1. Englin Jeffrey,
   2. Boxall Peter,
   3. Watson David

   . 1998. “Modeling Recreation Demand in a Poisson System of Equations: An Analysis of the Impact of International Exchange Rates.” American Journal of Agricultural Economics 80 (2): 255–63.

   OpenUrlAbstract/FREE Full Text
10. 1. Englin Jeffrey,
    2. Holmes Thomas,
    3. Niell Rebecca

    . 2006. “Alternative Models of Recreational Off-Highway Vehicle Site Demand”. Environmental and Resource Economics 35 (4): 327–38.

    OpenUrl
11. 1. Greene William H

    . 1997. Econometric Analysis. 3rd ed. Upper Saddle River, NJ: Prentice-Hall.
12. 1. Greene William H

    . 2001. “Fixed and Random Effects in Nonlinear Models.” Working paper. Department of Economics, New York University.
13. 1. Gupta Sachin,
    2. Chintagunta Pradeep K.

    1994. “On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models.” Journal of Marketing Research 31 (1): 128–36.

    OpenUrlCrossRefWeb of Science
14. 1. Hagerty Danielle,
    2. Moeltner Klaus

    . 2005. “Specification of Driving Costs in Models of Recreation Demand.” Land Economics 81 (1): 127–43.

    OpenUrlAbstract/FREE Full Text
15. 1. Hellerstein Daniel

    . 1995. “Welfare Estimation Using Aggregate and Individual-Observation Models: A Comparison Using Monte Carlo Techniques.” American Journal of Agricultural Economics 77 (3): 620–30.

    OpenUrlAbstract/FREE Full Text
16. 1. LaFrance Jeffrey T.

    1990. “Incomplete Demand Systems and Semilogarithmic Demand Models.” Australian Journal of Agricultural Economics 34 (2): 118–31.

    OpenUrlWeb of Science
17. 1. LaFrance Jeffrey T.,
    2. Beatty Timothy K. M.,
    3. Pope Rulon D

    . 2008. “Aggregation Theory for Incomplete Systems.” Working paper. Department of Agricultural and Resource Economics, University of California–Berkeley.
18. 1. League of Women Voters

    . 2000. Proposition 12. Available at www.smartvoter.org/2000/03/07/ca/state/prop/12/#sources.
19. 1. Moeltner Klaus

    . 2003. “Addressing Aggregation Bias in Zonal Recreation Models.” Journal of Environmental Economics and Management 45 (1): 128–44.

    OpenUrlCrossRefWeb of Science
20. 1. Morduch Jonathan J.,
    2. Stern Hall S.

    1997. “Using Mixture Models to Detect Sex Bias in Health Outcomes in Bangladesh.” Journal of Econometrics 77 (1): 259–76.

    OpenUrl
21. 1. Morey Edward,
    2. Thacher Jennifer,
    3. Breffle William

    . 2006. “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent Class Model.” Environmental and Resource Economics 34 (1): 91–115.

    OpenUrlCrossRef
22. 1. Owen Ann L.,
    2. Videras Julio R.

    2007. “Culture and Public Goods: The Case of Religion and the Voluntary Provision of Environmental Quality.” Journal of Environmental Economics and Management 54 (2): 162–80.

    OpenUrlCrossRefWeb of Science
23. 1. Parsons George R.

    1991. “A Note on Choice of Residential Location in Travel Cost Demand Models.” Land Economics 67 (3): 360–64.

    OpenUrlCrossRefWeb of Science
24. 1. Provencher Bill,
    2. Baerenklau Kenneth A.,
    3. Bishop Richard C.

    2002. “A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility.” American Journal of Agricultural Economics 84 (4): 1066–75.

    OpenUrlAbstract/FREE Full Text
25. 1. Provencher Bill,
    2. Moore Rebecca

    . 2006. “A Discussion of ‘Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent Class Model’”. Environmental and Resource Economics 34 (1): 117–24.

    OpenUrlCrossRefWeb of Science
26. 1. Scarpa Riccardo,
    2. Thiene Mara

    . 2005. “Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences.” Land Economics 81 (3): 426–44.

    OpenUrlAbstract/FREE Full Text
27. 1. Shonkwiler J. Scott

    . 1999. “Recreation Demand Systems for Multiple Site Count Data Travel Cost Models.” In Valuing Recreation and the Environment, ed. Herriges Joseph A., Kling Catherine L., 253–80. Cheltenham: Edward Elgar.
28. 1. Stoker Thomas M.

    1993. “Empirical Approaches to the Problem of Aggregation over Individuals.” Journal of Economic Literature 31 (4): 1827–74.

    OpenUrlWeb of Science
29. 1. Swait Joffre

    . 1994. “A Structural Equation Model of Latent Segmentation and Product Choice for Cross-Sectional Revealed Choice Data.” Journal of Retailing and Consumer Services 1 (2): 77–89.

    OpenUrlCrossRef
30. 1. Train Kenneth E.

    1998. “Recreation Demand Models with Taste Differences over People.” Land Economics 74 (2): 230–39.

    OpenUrlCrossRefWeb of Science
31. 1. U.S. Department of Commerce

    . 2000. United States Census 2000. Available at www.census.gov/main/www/cen2000.html (accessed March 2007).
32. 1. Von Haefen Roger H.

    2002. “A Complete Characterization of the Linear, Log-Linear, and Semi-Log Incomplete Demand System Models.” Journal of Agricultural and Resource Economics 27 (2): 281–319.

    OpenUrlWeb of Science
33. 1. Von Haefen Roger H.,
    2. Phaneuf Daniel J.

    2003a. “Estimating Preferences for Outdoor Recreation: A Comparison of Continuous and Count Data Demand System Frameworks.” Journal of Environmental Economics and Management 45 (3): 612–30.

    OpenUrlCrossRefWeb of Science
34. 1. Von Haefen Roger H.,
    2. Phaneuf Daniel J.

    2003b. “A Note on Estimating Nested Constant Elasticity of Substitution Preferences for Outdoor Recreation.” American Journal of Agricultural Economics 85 (2): 406–13.

    OpenUrlAbstract/FREE Full Text
35. 1. Weber Matthew,
    2. Berrens Robert P.

    2006. “Value of Instream Recreation in the Sonoran Desert.” Journal of Water Resource Planning and Management 132 (1): 53–60.

    OpenUrl
36. 1. Wedel M.,
    2. Desarbo W. S.,
    3. Bult J. R.,
    4. Ramaswamy V.

    1993. “A Latent Class Poisson Regression Model for Heterogeneous Count Data.” Journal of Applied Econometrics 8 (4): 397–411.

    OpenUrlCrossRefWeb of Science
37. 1. Yang Chih-Chien,
    2. Yang Chih-Chiang

    . 2007. “Separating Latent Classes by Information Criteria.” Journal of Classification 24 (2): 183–203.

    OpenUrlCrossRefWeb of Science