IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v20y2019i2p405-425.html
   My bibliography  Save this article

lclogit2: An enhanced command to fit latent class conditional logit models

Author

Listed:
  • Hong Il Yoo

    (Durham University Business School)

Abstract

In this article, I describe the lclogit2 command, an enhanced version of lclogit (Pacifico and Yoo, 2013, Stata Journal 13: 625–639). Like its predeces- sor, lclogit2 uses the expectation-maximization algorithm to fit latent class conditional logit (LCL) models. But it executes the expectation-maximization algorithm’s core algebraic operations in Mata, so it runs considerably faster as a result. It also allows linear constraints on parameters to be imposed more conveniently and flexibly. It comes with the parallel command lclogitml2, a new stand-alone command that uses gradient-based algorithms to fit LCL models. Both lclogit2 and lclogitml2 are supported by a new postestimation command, lclogitwtp2, that evaluates willingness-to-pay measures implied by fitted LCL models.

Suggested Citation

  • Hong Il Yoo, 2020. "lclogit2: An enhanced command to fit latent class conditional logit models," Stata Journal, StataCorp LP, vol. 20(2), pages 405-425, June.
    • Handle: RePEc:tsj:stataj:v:20:y:2019:i:2:p:405-425
    DOI: 10.1177/1536867X20931003
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0601
    File Function: link to article purchase
    Download Restriction: no
    File URL: http://www.stata-journal.com/software/sj20-2/st0601/
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1536867X20931003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Douadia Bougherara & Lana Friesen & Céline Nauges, 2021. "Risk Taking with Left- and Right-Skewed Lotteries," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 89-112, February.
    2. Takahiro Tsuge & Yasushi Shoji & Koichi Kuriyama & Ayumi Onuma, 2022. "Using a Choice Experiment to Understand Preferences for Disaster Risk Reduction with Uncertainty: A Case Study in Japan," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    3. Nam, Sangjun & Kwon, Youngsun, 2024. "Is pay-or-consent for privacy justifiable? Evidence from different users' privacy attitudes toward behavioral data collection in South Korea," Telecommunications Policy, Elsevier, vol. 48(7).
    4. Chen, Gang & Ratcliffe, Julie & Milte, Rachel & Khadka, Jyoti & Kaambwa, Billingsley, 2021. "Quality of care experience in aged care: An Australia-Wide discrete choice experiment to elicit preference weights," Social Science & Medicine, Elsevier, vol. 289(C).
    5. Riegel, Simone & Kuhfuss, Laure & Stojanovic, Timothy, 2023. "Nature-based solutions for climate change mitigation: Assessing the Scottish Public's preferences for saltmarsh carbon storage," Ecological Economics, Elsevier, vol. 211(C).
    6. Hiroshi Fujiki, 2023. "Attributes needed for Japan’s central bank digital currency," The Japanese Economic Review, Springer, vol. 74(1), pages 117-175, January.
    7. Burton, Kati & Becker, Douglas & Hovardas, Tasos & Wardropper, Chloe B. & Maas, Alexander, 2024. "Assessing policy preferences for preventing and managing wildfire in Greece," Forest Policy and Economics, Elsevier, vol. 163(C).
    8. Hermanns, Benedicta & Kairies-Schwarz, Nadja & Kokot, Johanna & Vomhof, Markus, 2023. "Heterogeneity in health insurance choice: An experimental investigation of consumer choice and feature preferences," hche Research Papers 29, University of Hamburg, Hamburg Center for Health Economics (hche).
    9. Nam, Sangjun & Kwon, Youngsun, 2022. "Quantifying different psychological costs of user behavioral info for overcoming the 'take-it-or-leave-it' condition," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265662, International Telecommunications Society (ITS).
    10. Yang, YeHa & Yang, SoYoung & Moon, HyungBin & Woo, JongRoul, 2024. "Analyzing heterogeneous electric vehicle charging preferences for strategic time-of-use tariff design and infrastructure development: A latent class approach," Applied Energy, Elsevier, vol. 374(C).
    11. Burns, J.G. & Glenk, K. & Eory, V. & Simm, G. & Wall, E., 2021. "Preferences of European dairy stakeholders in breeding for resilient and efficient cattle: a Best-Worst Scaling approach," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311092, Agricultural Economics Society - AES.
    12. Ge Ge & Geir Godager & Jian Wang, 2022. "Exploring physician agency under demand‐side cost sharing—An experimental approach," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1202-1227, June.
    13. Jeroen Luyten & Sandy Tubeuf & Roselinde Kessels, 2022. "Rationing of a scarce life‐saving resource: Public preferences for prioritizing COVID‐19 vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 342-362, February.
    14. Tyllianakis, Emmanouil & Martin-Ortega, Julia & Ziv, Guy & Chapman, Pippa J. & Holden, Joseph & Cardwell, Michael & Fyfe, Duncan, 2023. "A window into land managers’ preferences for new forms of agri-environmental schemes: Evidence from a post-Brexit analysis," Land Use Policy, Elsevier, vol. 129(C).
    15. Olsthoorn, Mark & Schleich, Joachim & Guetlein, Marie-Charlotte & Durand, Antoine & Faure, Corinne, 2023. "Beyond energy efficiency: Do consumers care about life-cycle properties of household appliances?," Energy Policy, Elsevier, vol. 174(C).
    16. Rodríguez-Lesmes, Paul & Góngora-Salazar, Pamela & Mentzakis, Emmanouil & Buckley, Neil & Gallego, Juan Miguel & Guindon, G. Emmanuel & Martínez, Juan Pablo & Paraje, Guillermo, 2024. "Would plain packaging and health warning labels reduce smoking in the presence of informal markets? A choice experiment in Colombia," Social Science & Medicine, Elsevier, vol. 354(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:20:y:2019:i:2:p:405-425. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.