Nonlinear Regression in STATA

Nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. Nonlinear models are used to describe complex phenomena which cannot be handled by the linear models. Using STATA for nonlinear regression involves several steps and commands demonstrated in this tutorial.
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Published papers using panel data:
(1) Do environmental, social and governance performance affect the financial performance of banks? A cross-country study of emerging market banks. doi.org/10.1108/MEQ-08-2018-0155
(2) Sustainability and financial performance of transport and logistics firms: Does board gender diversity matter? doi.org/10.1080/20430795.2022...
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This video is contributed by ResearchHUB member Mohammad Hassan Shakil. Follow his research at:
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