Journal article

Some Propositions in the Maximum Likelihood Estimation of Truncated Regression Models

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Author list: Eugene Kouassi, Sethlare Lexi, Marius Claude Oyon Amba, Oluyele Akinkugbe

Publication year: 2019

Volume number: 18

Issue number: 6

Start page: 671

End page: 689

Number of pages: 19

ISSN: 1681-8997



This paper seeks to add to the rather scanty theoretical literature on the estimation of truncated regression models. Using a number of propositions and proofs, we are able to derive maximum likelihood estimators that can be useful in these regards. Methods of estimating the marginal effects and related measures from such truncated models are also obtained in each case.


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Last updated on 2022-29-11 at 11:34