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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

    as
    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. 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".
    3. 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.
    4. 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.
    5. 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.
    6. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    3. 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.
    4. 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.
    5. Peng, Marcus & Oleson, Kirsten L.L., 2017. "Beach Recreationalists' Willingness to Pay and Economic Implications of Coastal Water Quality Problems in Hawaii," Ecological Economics, Elsevier, vol. 136(C), pages 41-52.
    6. 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.
    7. 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.
    8. 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.
    9. Legrand D. F, Saint-Cyr, 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers SMART - LERECO 17-04, INRAE UMR SMART-LERECO.
    10. 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.
    11. Kara R. Grant & R. Karina Gallardo & Jill J. McCluskey, 2021. "Consumer preferences for foods with clean labels and new food technologies," Agribusiness, John Wiley & Sons, Ltd., vol. 37(4), pages 764-781, October.
    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. 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.
    14. 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.
    15. 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.
    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.

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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

    NEP fields

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