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Regression Modeling Using Stata


Regression modeling is a fundamental tool for researchers who want to establish causal quantitative relationships from observational data. This course is intended as an overview of the theoretical concepts necessary to understand regression models and how to implement them using Stata. The concepts will be reinforced with exercises that the participants will work on with the assistance of the instructor.

Price: $695   Enroll now

We offer a 15% discount for group enrollments of three or more participants.

Course topics

  • Types of data: Cross-sectional, time-series, and panel-data
  • Statistical concepts: Conditional expectation, conditional variance, and conditional covariance
  • Mathematical concepts: Sum of squared errors, maximum likelihood, and conditional moments
  • Properties of estimators: Bias, consistency, efficiency, and normality
  • Regression model and conditional expectation
  • Standard errors
  • Parameter interpretation
  • Probit and logit models
  • Endogeneity


A calculus course and a probability and statistics course, or equivalent knowledge.

Next session

Course Dates Location Cost Enroll
Regression Modeling Using Stata June 19, 2018 Washington, DC $695 Enroll
Regression Modeling Using Stata AND
Panel-Data Analysis Using Stata
June 19–21, 2018 Washington, DC $1,795 Enroll

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This classroom training course is a one-day course that runs from 8:30 a.m. to 4:30 p.m. It takes place at a training center where computers with Stata installed are provided. A continental breakfast, lunch, and an afternoon snack will also be provided; the breakfast is available before the course begins.

This web-based training course is a two-day course that runs for three and a half hours each day. You will be provided with a temporary Stata license to install on your computer, a printed copy of the course notes, and all of the course datasets so that you can easily follow along. Learn more about how our web-based training courses work, watch a video demonstration, and find technical requirements for participating in this type of training.





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