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Regression Modeling Using Stata

Description

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  

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

Prerequisite

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

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Notes

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 from 12:00 p.m. to 3:30 p.m. Central Time 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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