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A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm

Author

Listed:
  • Daniele Pacifico

    (Italian Department of the Treasury)

  • Hong il Yoo

    (University of New South Wales)

Abstract

This paper describes lclogit, a Stata module for estimating a discrete mixture or latent class logit model via the EM algorithm.

Suggested Citation

  • Daniele Pacifico & Hong il Yoo, 2012. "A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm," Discussion Papers 2012-49, School of Economics, The University of New South Wales.
    • Handle: RePEc:swe:wpaper:2012-49
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    File URL: http://research.economics.unsw.edu.au/RePEc/papers/2012-49.pdf
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    References listed on IDEAS

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    1. Joel Huber and Kenneth Train., 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Economics Working Papers E00-289, University of California at Berkeley.
    2. 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.
    3. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    4. Daniele Pacifico, 2010. "Estimating nonparametric mixed logit models via EM algorithm," Center for the Analysis of Public Policies (CAPP) 0072, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    5. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
    6. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    7. Chandra R. Bhat, 1997. "An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel," Transportation Science, INFORMS, vol. 31(1), pages 34-48, February.
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    Cited by:

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    3. Pauline Laille & Marianne Lefebvre & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers hal-02867639, HAL.
    4. repec:zbw:rwirep:0537 is not listed on IDEAS
    5. Wendong Zhang & Brent Sohngen, 2018. "Do U.S. Anglers Care about Harmful Algal Blooms? A Discrete Choice Experiment of Lake Erie Recreational Anglers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 868-888.
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    7. Wakamatsu, Hiroki, 2019. "Heterogeneous Consumer Preference for Seafood Sustainability in Japan," MPRA Paper 92390, University Library of Munich, Germany.
    8. Mark Harrison & Luke Spooner & Nick Bansback & Katherine Milbers & Cheryl Koehn & Kam Shojania & Axel Finckh & Marie Hudson, 2019. "Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-15, April.
    9. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    10. Jingjing Wang & Chengyan Yue & Karina Gallardo & Vicki McCracken & James Luby & Jim McFerson, 2017. "What Consumers Are Looking for in Strawberries: Implications from Market Segmentation Analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 33(1), pages 56-69, January.
    11. Saint-Cyr, Legrand D. F., 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers 258013, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    12. Latacz-Lohmann, Uwe & Schulz, Norbert & Breustedt, Gunnar, 2014. "Assessing Farmers' Willingness to Accept "Greening": Insights from a Discrete Choice Experiment in Gremany," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170560, Agricultural Economics Society.
    13. Sylvaine Lemeilleur & Julie Subervie & Anderson Edilson Presoto & Roberta de Castro Souza & Maria Sylvia Macchione Saes, 2016. "Eco-certified contract choice among coffee farmersin Brazil," Working Papers 16-09, LAMETA, Universtiy of Montpellier.
    14. Nathan Kettlewell, 2020. "Policy Choice and Product Bundling in a Complicated Health Insurance Market: Do People Get It Right?," Journal of Human Resources, University of Wisconsin Press, vol. 55(2), pages 566-610.
    15. Dolores Garrido & Rosa Karina Gallardo, 2022. "Are improvements in convenience good enough for consumers to prefer new food processing technologies?," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 73-92, January.
    16. Evelyne Gbénou-Sissinto & Ygué P. Adegbola & Gauthier Biaou & Roch C. Zossou, 2018. "Farmers’ Willingness to Pay for New Storage Technologies for Maize in Northern and Central Benin," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    17. Segla Roch Cedrique Zossou & Patrice Ygue Adegbola & Brice Tiburce Oussou & Gustave Dagbenonbakin & Roch Mongbo, 2021. "Modelling smallholder farmers’ preferences for soil fertility management technologies in Benin: A stated preference approach," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-25, June.
    18. Christopher J. Cronin & David K. Guilkey & Ilene S. Speizer, 2019. "Measurement error in discrete health facility choice models: An example from urban Senegal," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1102-1120, November.
    19. Jihee Lee & HyungBin Moon & Jongsu Lee, 2021. "Consumers’ heterogeneous preferences toward the renewable portfolio standard policy: An evaluation of Korea’s energy transition policy," Energy & Environment, , vol. 32(4), pages 648-667, June.
    20. Marianne Lefebvre & Pauline Laille & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers 2020.02, FAERE - French Association of Environmental and Resource Economists.
    21. Uddin, Azhar & Gallardo, R. Karina, 2021. "Consumers' willingness to pay for organic, clean label, and processed with a new food technology: an application to ready meals," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), March.
    22. Kairies-Schwarz, Nadja & Kokot, Johanna & Vomhof, Markus & Wessling, Jens, 2014. "How Do Consumers Choose Health Insurance? – An Experiment on Heterogeneity in Attribute Tastes and Risk Preferences," Ruhr Economic Papers 537, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    23. Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.
    24. Nadja Kairies-Schwarz & Johanna Kokot & Markus Vomhof & Jens Wessling, 2014. "How Do Consumers Choose Health Insurance? – An Experiment on Heterogeneity in Attribute Tastes and Risk Preferences," Ruhr Economic Papers 0537, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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    More about this item

    Keywords

    st0001; lclogit; latent class model; EM algorithm; mixed logit;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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    This paper has been announced in the following NEP Reports:

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