IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v20y2020i3p627-646.html
   My bibliography  Save this article

Endogenous switching regression model and treatment effects of count-data outcome

Author

Listed:
  • Takuya Hasebe

    (Sophia University)

Abstract

In this article, I describe the escount command, which implements the estimation of an endogenous switching model with count-data outcomes, where a potential outcome differs across two alternate treatment statuses. escount al- lows for either a Poisson or a negative binomial regression model with lognormal latent heterogeneity. After estimating the parameters of the switching regression model, one can estimate various treatment effects with the command teescount. I also describe the command lncount, which fits the Poisson or negative binomial regression model with lognormal latent heterogeneity.

Suggested Citation

  • Takuya Hasebe, 2020. "Endogenous switching regression model and treatment effects of count-data outcome," Stata Journal, StataCorp LP, vol. 20(3), pages 627-646, September.
    • Handle: RePEc:tsj:stataj:v:20:y:2020:i:3:p:627-646
    DOI: 10.1177/1536867X20953573
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj20-3/st0612/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0612
    File Function: link to article purchase
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1536867X20953573?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. Serrano-Alarcón, Manuel & Hernández-Pizarro, Helena & López-Casasnovas, Guillem & Nicodemo, Catia, 2022. "Effects of long-term care benefits on healthcare utilization in Catalonia," Journal of Health Economics, Elsevier, vol. 84(C).
    2. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
    3. Wanglin Ma & Puneet Vatsa & Hongyun Zheng & Yanzhi Guo, 2022. "Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-19, December.
    4. Mbalenhle Gwacela & Mjabuliseni Simon Cleopas Ngidi & Simphiwe Innocentia Hlatshwayo & Temitope Oluwaseun Ojo, 2024. "Analysis of the Contribution of Home Gardens to Household Food Security in Limpopo Province, South Africa," Sustainability, MDPI, vol. 16(6), pages 1-13, March.

    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:2020:i:3:p:627-646. 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.