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lclogit2: An enhanced module to estimate latent class conditional logit models

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  • Yoo, Hong Il

Abstract

This paper describes Stata command lclogit2, an enhanced version of lclogit (Pacifico and Yoo, 2013). Like its predecessor, lclogit2 uses the Expectation-Maximization (EM) algorithm to estimate latent class conditional logit (LCL) models. But it executes the EM algorithm's core algebraic operations in Mata, and runs considerably faster as a result. It also allows linear constraints on parameters to be imposed in a more convenient and flexible manner. It comes with parallel command lclogitml2, a new standalone program that uses gradient-based algorithms to estimate LCL models. Both lclogit2 and lclogitml2 are supported by a new postestimation tool, lclogitwtp2, that evaluates willingness-to-pay measures implied by estimated LCL models.

Suggested Citation

  • Yoo, Hong Il, 2019. "lclogit2: An enhanced module to estimate latent class conditional logit models," MPRA Paper 97014, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:97014
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    Cited by:

    1. Cordula Hinkes & Inken Christoph-Schulz, 2020. "No Palm Oil or Certified Sustainable Palm Oil? Heterogeneous Consumer Preferences and the Role of Information," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    2. Ryan Feuz & F. Bailey Norwood & Ranjith Ramanathan, 2020. "Do consumers have an appetite for discolored beef?," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 631-652, October.
    3. Richard Norman & Suzanne Robinson & Helen Dickinson & Iestyn Williams & Elena Meshcheriakova & Kathleen Manipis & Matthew Anstey, 2021. "Public Preferences for Allocating Ventilators in an Intensive Care Unit: A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(3), pages 319-330, May.
    4. Voravee Saengavut & Chintana Somswasdi, 2022. "Preference Heterogeneity of Local Participation in Coupling Conservation and Community-Based Entrepreneurship Development," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    5. Daniel Pérez-Troncoso & David M. Epstein & José A. Castañeda-García, 2021. "Consumers' Preferences and Willingness to Pay for Personalised Nutrition," Applied Health Economics and Health Policy, Springer, vol. 19(5), pages 757-767, September.
    6. Arntz, Melanie & Brüll, Eduard & Lipowski, Cäcilia, 2021. "Do preferences for urban amenities really differ by skill?," ZEW Discussion Papers 21-045, ZEW - Leibniz Centre for European Economic Research.
    7. Martin, Inès & Vranken, Liesbet & Ugás, Roberto, 2021. "Farmers’ Preferences to Cultivate Threatened Crop Varieties: Evidence from Peru," 2021 Conference, August 17-31, 2021, Virtual 315216, International Association of Agricultural Economists.

    More about this item

    Keywords

    lclogit2; lclogitml2; lclogitwtp2; lclogit; mixlogit; fmm; finite mixture; 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
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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