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Comparing models of unobserved heterogeneity in environmental choice experiments

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  • Kragt, Marit Ellen
Abstract
Choice experiments have become a widespread approach to non-market environmental valuation. Given the vast range of public opinions towards environmental management changes, it is desirable that analysis of discrete choice data accounts for the possibility of unobserved heterogeneity amongst the population. There is, however, no consensus about the best way to model individual heterogeneity. This paper presents four approaches to modelling heterogeneity that are increasingly used in the literature. Latent class, mixed logit, scaled multinomial logit and generalised mixed logit (GMXL) models are estimated using case study data for catchment environmental management in Australia. A GMXL model that accounts for preference and scale heterogeneity performs best. I evaluate the impacts of models on welfare estimates and discuss the merits of each modelling approach.

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  • Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," Working Papers 144447, University of Western Australia, School of Agricultural and Resource Economics.
  • Handle: RePEc:ags:uwauwp:144447
    DOI: 10.22004/ag.econ.144447
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    1. McNair, Ben J. & Bennett, Jeff & Hensher, David A., 2011. "A comparison of responses to single and repeated discrete choice questions," Resource and Energy Economics, Elsevier, vol. 33(3), pages 554-571, September.
    2. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    3. Kataria, Mitesh, 2009. "Willingness to pay for environmental improvements in hydropower regulated rivers," Energy Economics, Elsevier, vol. 31(1), pages 69-76, January.
    4. Marit E. Kragt & J.W. Bennett, 2011. "Using choice experiments to value catchment and estuary health in Tasmania with individual preference heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 159-179, April.
    5. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    6. 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.
    7. Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
    8. Kragt, Marit Ellen & Bennett, Jeffrey W., 2009. "Using Choice Experiments to value River and Estuary Health in Tasmania with Individual Preference Heterogeneity," Research Reports 94816, Australian National University, Environmental Economics Research Hub.
    9. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    10. Christie, Mike & Gibbons, James, 2011. "The effect of individual ‘ability to choose’ (scale heterogeneity) on the valuation of environmental goods," Ecological Economics, Elsevier, vol. 70(12), pages 2250-2257.
    11. Riccardo Scarpa & Sandra Notaro & Jordan Louviere & Roberta Raffaelli, 2010. "Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 809-824.
    12. Hensher, David A., 2012. "Accounting for scale heterogeneity within and between pooled data sources," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 480-486.
    13. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    14. 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.
    15. Stine Broch & Suzanne Vedel, 2012. "Using Choice Experiments to Investigate the Policy Relevance of Heterogeneity in Farmer Agri-Environmental Contract Preferences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(4), pages 561-581, April.
    16. David Hensher & Matthew Beck & John Rose, 2011. "Accounting for Preference and Scale Heterogeneity in Establishing Whether it Matters Who is Interviewed to Reveal Household Automobile Purchase Preferences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(1), pages 1-22, May.
    17. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    18. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    19. Puckett, Sean M. & Rose, John M. & Bain, Stuart, 2012. "Modelling heterogeneity in scale directly: implications for estimates of influence in freight decision-making groups," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 50, pages 1-2.
    20. Tiziana Luisetti & Ian J. Bateman & R. Kerry Turner, 2011. "Testing the Fundamental Assumption of Choice Experiments: Are Values Absolute or Relative?," Land Economics, University of Wisconsin Press, vol. 87(2), pages 284-296.
    21. Marit Kragt, 2013. "The Effects of Changing Cost Vectors on Choices and Scale Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 201-221, February.
    22. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    23. Kelvin Balcombe & Iain Fraser, 2011. "A general treatment of ‘don't know’ responses from choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 171-191, June.
    24. Klaus Glenk & Sergio Colombo, 2011. "How Sure Can You Be? A Framework for Considering Delivery Uncertainty in Benefit Assessments Based on Stated Preference Methods," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 25-46, February.
    25. Riccardo Scarpa & Kenneth G. Willis & Melinda Acutt, 2007. "Valuing externalities from water supply: Status quo, choice complexity and individual random effects in panel kernel logit analysis of choice experiments," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 50(4), pages 449-466.
    26. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    27. 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.
    28. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    29. Gregory L. Poe & Eric K. Severance-Lossin & Michael P. Welsh, 1994. "Measuring the Difference (X — Y) of Simulated Distributions: A Convolutions Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 904-915.
    30. Mike Burton & Dan Rigby, 2009. "Hurdle and Latent Class Approaches to Serial Non-Participation in Choice Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(2), pages 211-226, February.
    31. Kenneth Morgan, 2007. "Historical statistics of the United States – Edited by Susan B. Carter, Scott Sigmund Gartner, Michael R. Haines, Alan L. Olmstead, Richard Sutch, and Gavin Wright," Economic History Review, Economic History Society, vol. 60(3), pages 636-638, August.
    32. Poe, Gregory L. & Welsh, Michael P. & Lossin, Eric K., 1994. "Implementing the Convolutions Approach: A Companion to "Measuring the Difference (X-Y) of Simulated Distributions: A Convolutions Approach"," Working Papers 128016, Cornell University, Department of Applied Economics and Management.
    33. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.
    34. 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.
    35. Jeff Bennett & Russell Blamey (ed.), 2001. "The Choice Modelling Approach to Environmental Valuation," Books, Edward Elgar Publishing, number 2028.
    36. Gabriela Scheufele & Jeff Bennett, 2012. "Response Strategies and Learning in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(3), pages 435-453, July.
    37. Mara Thiene & Riccardo Scarpa, 2009. "Deriving and Testing Efficient Estimates of WTP Distributions in Destination Choice Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(3), pages 379-395, November.
    38. Beville, Stephen T. & Kerr, Geoffrey N. & Hughey, Kenneth F.D., 2012. "Valuing impacts of the invasive alga Didymosphenia geminata on recreational angling," Ecological Economics, Elsevier, vol. 82(C), pages 1-10.
    39. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    40. 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.
    41. Morten Raun Mørkbak & Tove Christensen & Dorte Gyrd-Hansen & Søren Bøye Olsen, 2011. "Is embedding entailed in consumer valuation of food safety characteristics?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(4), pages 587-607, October.
    42. David A. Hensher & William H. Greene, 2011. "Valuation of Travel Time Savings in WTP and Preference Space in the Presence of Taste and Scale Heterogeneity," Journal of Transport Economics and Policy, University of Bath, vol. 45(3), pages 505-525, September.
    43. Gregory L. Poe & Michael P. Welsh & Patricia A. Champ, 1997. "Measuring the Difference in Mean Willingness to Pay When Dichotomous Choice Contingent Valuation Responses Are Not Independent," Land Economics, University of Wisconsin Press, vol. 73(2), pages 255-267.
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