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Webinar: Regression modeling for continuous, binary, and count outcomes

Overview

Duration: 1 hour
Where: Join us from anywhere!
Cost: Free—but registrations are limited

Description

Join us for an intuitive introduction to regression modeling for continuous, binary, and count outcomes. We will give an overview of the theoretical concepts necessary to understand regression models and show you how to fit them using Stata. Learn how to implement ordinary least-squares regression; maximum likelihood estimation for probit, logistic, and Poisson models; instrumental-variables estimation; and marginal analysis.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

We will send you an email prior to the start with instructions on how to access the webinar.

Presenter: Chris Cheng

Chris Cheng portrait

Chris Cheng is a Senior Econometrician at StataCorp LLC. He has a master's degree in economics and a PhD in agricultural and managerial economics from Texas A&M University. He has worked with technical support since 2019. Chris frequently interacts with users about technical questions and gives webinars and training courses. His interests focus on demand analysis, panel-data analysis, and other econometrics.


Register

Available sessions 4 June 2024, 11:00 AM CDT (4:00 PM UTC)
  Registration deadline: 2 June 2024

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