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Estimating treatment effects for ordered outcomes using maximum simulated likelihood

Author

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  • Christian A. Gregory

    (Economic Research Service, USDA)

Abstract

I present four new commands to estimate the effect of a binary endogenous treatment on an ordered outcome. Such models conventionally rely upon joint normality of the unobservables in treatment and outcome processes, as do treatoprobit and switchoprobit. In this article, I highlight the capabilities of treatoprobitsim and switchoprobitsim, which both use a latent-factor structure to model the joint distribution of the treatment and outcome and allow the researcher to relax the assumption of joint normality. Copyright 2015 by StataCorp LP.

Suggested Citation

  • Christian A. Gregory, 2015. "Estimating treatment effects for ordered outcomes using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 15(3), pages 756-774, September.
  • Handle: RePEc:tsj:stataj:v:15:y:2015:i:3:p:756-774
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    Citations

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    Cited by:

    1. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
    2. Huang, Bihong & Lian, Yujun & Li, Wensu, 2016. "How far is Chinese left-behind parents' health left behind?," China Economic Review, Elsevier, vol. 37(C), pages 15-26.
    3. Abiodun A. Ogundeji, 2022. "Adaptation to Climate Change and Impact on Smallholder Farmers’ Food Security in South Africa," Agriculture, MDPI, vol. 12(5), pages 1-16, April.
    4. G. Debucquet & P. Guillotreau & G. Lazuech & F. Salladarré & J. Troiville, 2020. "Sense of belonging and commitment to a community-supported fishery. The case of Yeu Island, France," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 439-459, December.
    5. Zi-qing Yuan & Xian Zheng & Eddie C. M. Hui, 2021. "Happiness Under One Roof? The Intergenerational Co-residence and Subjective Well-Being of Elders in China," Journal of Happiness Studies, Springer, vol. 22(2), pages 727-765, February.
    6. Bilgel, Fırat & Karahasan, Burhan Can, 2018. "Self-rated health and endogenous selection into primary care," Social Science & Medicine, Elsevier, vol. 197(C), pages 168-182.
    7. Wubneshe Dessalegn Biru & Manfred Zeller & Tim K. Loos, 2020. "The Impact of Agricultural Technologies on Poverty and Vulnerability of Smallholders in Ethiopia: A Panel Data Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 517-544, January.
    8. Jie Dong & Kuan Zhang & Xiguo Yin & Houjian Li & Mansoor Ahmed Koondhar, 2021. "Does piped water improve adolescent health? Empirical evidence from rural China," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1601-1628, August.
    9. Samuel Sekyi & Benjamin Musah Abu & Paul Kwame Nkegbe, 2020. "Effects of farm credit access on agricultural commercialization in Ghana: Empirical evidence from the northern Savannah ecological zone," African Development Review, African Development Bank, vol. 32(2), pages 150-162, June.
    10. Firat Bilgel & Burhan Can Karahasan, 2017. "Self-Rated Health and Primary Care Utilization: Is Selection into Healthcare Endogenously Determined?," Working Papers 1079, Economic Research Forum, revised 04 Jun 2017.

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