IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

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

Author Info

Listed author(s):
  • Kenneth A. Baerenklau
Registered author(s):

    Abstract

    A method for incorporating unobserved heterogeneity into aggregate count data frameworks is presented and used to control for endogenous spatial sorting in zonal recreation models. The method is based on latent class analysis, which has become a popular tool for analyzing heterogeneous preferences with individual data but has not yet been applied to aggregate count data. The method is tested using data on backcountry hikers for a southern California study site and performs well for relatively small numbers of classes. The latent class model produces substantially smaller welfare estimates compared to a constrained version that assumes homogeneity throughout the population.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://le.uwpress.org/cgi/reprint/86/4/800
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by University of Wisconsin Press in its journal Land Economics.

    Volume (Year): 86 (2010)
    Issue (Month): 4 ()
    Pages: 800-816

    as
    in new window

    Handle: RePEc:uwp:landec:v:86:y:2010:iv:1:p:800-816
    Contact details of provider: Web page: http://le.uwpress.org/

    Keywords:

    Find related papers by JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. Morduch, Jonathan J. & Stern, Hal S., 1997. "Using mixture models to detect sex bias in health outcomes in Bangladesh," Journal of Econometrics, Elsevier, vol. 77(1), pages 259-276, March.
    2. Daniel Hellerstein, 1995. "Welfare Estimation Using Aggregate and Individual-Observation Models: A Comparison Using Monte Carlo Techniques," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 620-630.
    3. Bill Provencher & Rebecca Moore, 2006. "A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 117-124, 05.
    4. Danielle Hagerty & Klaus Moeltner, 2005. "Specification of Driving Costs in Models of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 81(1).
    5. Moeltner, Klaus, 2003. "Addressing aggregation bias in zonal recreation models," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 128-144, January.
    6. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    7. Bill Provencher & Kenneth A. Baerenklau & Richard C. Bishop, 2002. "A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1066-1075.
    8. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, 05.
    9. Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
    10. 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, Western Agricultural Economics Association, vol. 27(02), December.
    11. Jeffrey Englin & Thomas Holmes & Rebecca Niell, 2006. "Alternative Models of Recreational Off-Highway Vehicle Site Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(4), pages 327-338, December.
    Full references (including those not matched with items on IDEAS)

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    as
    in new window


    Cited by:

    1. Egan, Kevin J. & Corrigan, Jay R. & Dwyer, Daryl F., 2015. "Three reasons to use annual payments in contingent valuation surveys: Convergent validity, discount rates, and mental accounting," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 123-136.
    2. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    3. Xin Yang & Michael Burton & Yinying Cai & Anlu Zhang, 2015. "Exploring Heterogeneous Preference for Farmland Non-market Values in Wuhan, Central China," Sustainability, MDPI, Open Access Journal, vol. 8(1), pages 1-13, December.
    4. Nielsen, Anne Sofie Elberg & Lundhede, Thomas Hedemark & Jacobsen, Jette Bredahl, 2016. "Local consequences of national policies - A spatial analysis of preferences for forest access reduction," Forest Policy and Economics, Elsevier, vol. 73(C), pages 68-77.
    5. Balderas Torres, Arturo & MacMillan, Douglas C. & Skutsch, Margaret & Lovett, Jon C., 2015. "Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-benefits for carbon markets in México," Ecological Economics, Elsevier, vol. 117(C), pages 283-294.
    6. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    7. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    8. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, Socio-Economic Marine Research Unit, National University of Ireland, Galway.
    9. Balderas Torres, Arturo & MacMillan, Douglas C. & Skutsch, Margaret & Lovett, Jon C., 2015. "‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-benefits for carbon markets in México," Ecological Economics, Elsevier, vol. 109(C), pages 130-141.
    10. repec:gam:jsusta:v:8:y:2015:i:1:p:12:d:61147 is not listed on IDEAS
    11. Jørgensen, Sisse Liv & Olsen, Søren Bøye & Ladenburg, Jacob & Martinsen, Louise & Svenningsen, Stig Roar & Hasler, Berit, 2013. "Spatially induced disparities in users' and non-users' WTP for water quality improvements—Testing the effect of multiple substitutes and distance decay," Ecological Economics, Elsevier, vol. 92(C), pages 58-66.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Access and download statistics

    When requesting a correction, please mention this item's handle: RePEc:uwp:landec:v:86:y:2010:iv:1:p:800-816. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.