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Estimation methods in the presence of corner solutions

Author

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  • Alfonso Sánchez-Peñalver

    (University of South Florida)

Abstract

In this article, I introduce a new command, nehurdle, that collects maximum likelihood estimators for linear, exponential, homoskedastic, and het- eroskedastic tobit; truncated hurdle; and type II tobit models that involve ex- plained variables with corner solutions. I review what a corner solution is as well as the assumptions of the mentioned models.

Suggested Citation

  • Alfonso Sánchez-Peñalver, 2019. "Estimation methods in the presence of corner solutions," Stata Journal, StataCorp LP, vol. 19(1), pages 87-111, March.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:1:p:87-111
    DOI: 10.1177/1536867X19830893
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-1/st0550/
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    Cited by:

    1. Ndlovu, P.N. & Thamaga-Chitja, J.M. & Ojo, T.O., 2021. "Factors influencing the level of vegetable value chain participation and implications on smallholder farmers in Swayimane KwaZulu-Natal," Land Use Policy, Elsevier, vol. 109(C).
    2. Kehinde, Ayodeji Damilola, 2021. "The Distributional Impact of Non-Farm Income on Output and Farm Income of Cassava Farmers in Southwestern Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315857, International Association of Agricultural Economists.

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