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Using mixed logit models to derive individual-specific WTP estimates for landscape improvements under agri-environmental schemes: evidence from the Rural Environment Protection Scheme in Ireland

Author

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  • Danny Campbell

    (Institute of Agri-Food and Land Use, Queen’s University Belfast)

  • George Hutchinson

    (Institute of Agri-Food and Land Use, Queen’s University Belfast)

  • Riccardo Scarpa

    (Waikato Management School, Hamilton, New Zealand)

Abstract

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Suggested Citation

  • Danny Campbell & George Hutchinson & Riccardo Scarpa, 2006. "Using mixed logit models to derive individual-specific WTP estimates for landscape improvements under agri-environmental schemes: evidence from the Rural Environment Protection Scheme in Ireland," Working Papers 0607, Rural Economy and Development Programme,Teagasc.
    • Handle: RePEc:tea:wpaper:0607
    as

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    File URL: http://www.teagasc.ie/rural-economy/downloads/workingpapers/06wpre07.pdf
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    References listed on IDEAS

    as
    1. Alan Randall, 2002. "Valuing the outputs of multifunctional agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(3), pages 289-307, July.
    2. Stephane Hess & John Polak, 2003. "An alternative method to the scrambled Halton sequence for removing correlation between standard Halton sequences in high dimensions," ERSA conference papers ersa03p406, European Regional Science Association.
    3. Train, K. & Weeks, M., 2004. "Discrete Choice Models in Preference Space and Willingness-to Pay Space," Cambridge Working Papers in Economics 0443, Faculty of Economics, University of Cambridge.
    4. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    5. Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007. "Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 83(4), pages 617-634.
    6. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    7. 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.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    9. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    10. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    11. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato.
    12. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    13. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    14. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    15. David F. Layton & Gardner Brown, 2000. "Heterogeneous Preferences Regarding Global Climate Change," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 616-624, November.
    16. Jayson L. Lusk & F. Bailey Norwood, 2005. "Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 771-785.
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    Citations

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    Cited by:

    1. Schipmann, Christin & Qaim, Matin, 2011. "Supply chain differentiation, contract agriculture, and farmers’ marketing preferences: The case of sweet pepper in Thailand," Food Policy, Elsevier, vol. 36(5), pages 667-677.
    2. Morey, Edward & Thiene, Mara & De Salvo, Maria & Signorello, Giovanni, 2008. "Using attitudinal data to identify latent classes that vary in their preference for landscape preservation," Ecological Economics, Elsevier, vol. 68(1-2), pages 536-546, December.
    3. Schipmann, Christin & Qaim, Matin, 2011. "Supply chain differentiation, contract agriculture, and farmers’ marketing preferences: the case of sweet pepper in Thailand," GlobalFood Discussion Papers 108349, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    4. Knut Per Hasund & Mitesh Kataria & Carl Johan Lagerkvist, 2011. "Valuing public goods of the agricultural landscape: a choice experiment using reference points to capture observable heterogeneity," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(1), pages 31-53.
    5. Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Working Papers 2006.128, Fondazione Eni Enrico Mattei.
    6. Li Cong & Yujun Zhang & Ching-Hui (Joan) Su & Ming-Hsiang Chen & Jinnan Wang, 2019. "Understanding Tourists’ Willingness-to-Pay for Rural Landscape Improvement and Preference Heterogeneity," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    7. 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.
    8. Mara Thiene & Marco Boeri & Caspar Chorus, 2012. "Random Regret Minimization: Exploration of a New Choice Model for Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(3), pages 413-429, March.
    9. Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007. "Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 83(4), pages 617-634.
    10. De Ayala Bilbao, Amaya & Hoyos Ramos, David & Mariel Chladkova, Petr, 2012. "Landscape valuation through discrete choice experiments: Current practice and future research reflections," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    11. Vecchiato, D. & Tempesta, T., 2013. "Valuing the benefits of an afforestation project in a peri-urban area with choice experiments," Forest Policy and Economics, Elsevier, vol. 26(C), pages 111-120.

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