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Mixed Logit Model Performance and Distributional Assumptions: Preferences and GM foods

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  • Dan Rigby

  • Kelvin Balcombe

  • Michael Burton

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  • Dan Rigby & Kelvin Balcombe & Michael Burton, 2009. "Mixed Logit Model Performance and Distributional Assumptions: Preferences and GM foods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 279-295, March.
    • Handle: RePEc:kap:enreec:v:42:y:2009:i:3:p:279-295
    DOI: 10.1007/s10640-008-9227-7
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    References listed on IDEAS

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    1. 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.
    2. repec:aen:journl:2000v21-04-a01 is not listed on IDEAS
    3. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    4. 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.
    5. Burton, Michael P. & Rigby, Dan, 2006. "Non-Participation in Choice Models: Hurdle and Latent Class Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25312, International Association of Agricultural Economists.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Enero-Abr.
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    1. repec:sss:wpaper:201407 is not listed on IDEAS
    2. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    3. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    4. Cati Torres & Sergio Colombo & Nick Hanley, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: what are the implications for welfare measurement?," Discussion Papers in Environment and Development Economics 2014-07, University of St. Andrews, School of Geography and Sustainable Development.
    5. Agnoli, Lara & Boeri, Marco & Scarpa, Riccardo & Capitello, Roberta & Begalli, Diego, 2018. "Behavioural patterns in Mediterranean-style drinking: Generation Y preferences in alcoholic beverage consumption," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 117-125.
    6. Janssen, Meike & Hamm, Ulrich, 2014. "Governmental and private certification labels for organic food: Consumer attitudes and preferences in Germany," Food Policy, Elsevier, vol. 49(P2), pages 437-448.
    7. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    8. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    9. Balcombe, Kelvin & Burton, Michael & Rigby, Dan, 2011. "Skew and attribute non-attendance within the Bayesian mixed logit model," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 446-461.
    10. Takama, Takeshi & Tsephel, Stanzin & Johnson, Francis X., 2012. "Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia. A discrete choice model of household preferences for clean cooking alternatives," Energy Economics, Elsevier, vol. 34(6), pages 1763-1773.
    11. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.
    12. Valerie Kilders & Vincenzina Caputo, 2021. "Is Animal Welfare Promoting Hornless Cattle? Assessing Consumer’s Valuation for Milk from Gene‐edited Cows under Different Information Regimes," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 735-759, September.
    13. Doherty, Edel & Campbell, Danny & Hynes, Stephen & van Rensburg, Tom M., 2011. "The effect of using labelled alternatives in stated choice experiments: an exploration focusing on farmland walking trails in Ireland," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108792, Agricultural Economics Society.
    14. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    15. Gillespie, Rob & Kragt, Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 3(2), pages 1-29, May.
    16. Romain Crastes dit Sourd, 2024. "A new empirical approach for mitigating exploding implicit prices in mixed multinomial logit models," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(1), pages 76-95, January.
    17. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.
    18. Janssen, Meike & Hamm, Ulrich, 2011. "Certification Logos in the Market for Organic Food: What are Consumers Willing to Pay for Different Logos?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114454, European Association of Agricultural Economists.

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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