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Estimating treatment effects for ordered outcomes using maximum simulated likelihood

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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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    Cited by:

    1. 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.
    2. Debucquet, G. & Guillotreau, P. & Lazuech, G. & Salladarré, F. & Troiville, J., 2020. "Sense of belonging and commitment to a community-supported fishery. The case of Yeu Island, France," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 101(4), January.
    3. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
    4. 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.
    5. 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.
    6. 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.
    7. Dawuni, Peter, 2024. "Achieving Food Security Through Agricultural Water Security of Smallholder Farmers in Ghana," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 12(01), January.
    8. Dawuni, Peter, 2024. "Achieving Food Security Through Agricultural Water Security of Smallholder Farmers in Ghana," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 12(1), January.
    9. 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.
    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.
    11. 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.
    12. 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.

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