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Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models

Author

Listed:
  • Riccardo Scarpa

    (University of York)

  • Kenneth G. Willis

    (School of Architecture Landscape and Planning, University of Newcastle Upon Tyne)

  • Melinda Acutt

    (Yorkshire Water)

Abstract

Multi-attribute stated preference data, derived through choice experiments, is used to investigate the consequence of a finite number of preference groups in a sample of Yorkshire Water residential customers on the conditional distributions of willingness to pay in the sample. The research focuses on ‘public good’ values, and retrieves the implicit customer specific welfare measures conditional on a sequence of four observed choices. We assess and contrast the sample evidence for the presence of a finite number of 2, 3, 4 and 5 latent preference groups (classes), and contrast these with the presence of a continuous distribution of parameter estimates using mixed logit models. The main focus is the conditional valuations in the form of marginal values for the consequence of waste water handling and treatment, namely: river water quality, area flooding by sewage, presence of odour and flies, and other water related amenities.

Suggested Citation

  • Riccardo Scarpa & Kenneth G. Willis & Melinda Acutt, 2004. "Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models," Working Papers 2004.132, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2004.132
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    References listed on IDEAS

    as
    1. Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
    2. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    3. 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.
    4. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    5. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Enero-Abr.
    7. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    8. Scarpa, Riccardo & Drucker, Adam G. & Anderson, Simon & Ferraes-Ehuan, Nancy & Gomez, Veronica & Risopatron, Carlos R. & Rubio-Leonel, Olga, 2003. "Valuing genetic resources in peasant economies: the case of 'hairless' creole pigs in Yucatan," Ecological Economics, Elsevier, vol. 45(3), pages 427-443, July.
    9. Scarpa, Riccardo & Ruto, Eric S. K. & Kristjanson, Patti & Radeny, Maren & Drucker, Adam G. & Rege, John E. O., 2003. "Valuing indigenous cattle breeds in Kenya: an empirical comparison of stated and revealed preference value estimates," Ecological Economics, Elsevier, vol. 45(3), pages 409-426, July.
    10. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    11. Heckman, James J. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
    12. Boxall, Peter C. & Adamowicz, Wiktor L., 1999. "Understanding Heterogeneous Preferences in Random Utility Models: The Use of Latent Class Analysis," Staff Paper Series 24090, University of Alberta, Department of Resource Economics and Environmental Sociology.
    13. Nick Hanley & W. Douglass Shaw & Robert E. Wright (ed.), 2003. "The New Economics of Outdoor Recreation," Books, Edward Elgar Publishing, number 2712.
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    Cited by:

    1. Hilger, James & Hanemann, Michael, 2006. "Heterogeneous Preferences for Water Quality: A Finite Mixture Model of Beach Recreation in Southern California," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0565c0b2, Department of Agricultural & Resource Economics, UC Berkeley.

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    More about this item

    Keywords

    Choice experiments; Mixed logit; Latent classes; Individual-specific estimates; Non-market valuation;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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