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Panel-data analysis using Stata

Description

This course provides an introduction to the theory and practice of panel-data analysis. After introducing the fixed-effects and random-effects approaches to unobserved individual-level heterogeneity, the course covers linear models with exogenous covariates, linear models with endogenous variables, dynamic linear models, and some nonlinear models. A quick introduction to the generalized method of moments estimation technique is also included. The differences between the individual-specific and population-averaged interpretations are discussed throughout the course. Concepts are extensively illustrated using excercises and examples worked in Stata.

Are you more interested in hierarchical linear models with nested data or random slopes? Check out our Multilevel/mixed models using Stata course.

Price: $1,395   Enroll now

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

Course leader

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.

Course topics

  • A quick introduction to Stata
  • Overview of basic regression analysis
  • Estimators for linear models that require random effects
  • Fixed-effect estimators for linear models
  • Instrumental-variables estimators
  • Hausman–Taylor Models
  • Models with endogenous variables
  • Dynamic panel-data models
  • The Arellano–Bond estimator
  • The Arellano–Bover/Blundell–Bond estimator
  • Random- and fixed-effects estimators for binary models
  • Random- and fixed-effects estimators for count-data models

Prerequisite

A general familiarity with Stata and a graduate-level course in regression analysis or comparable experience.

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Course Dates Location Cost Enroll
Panel-data analysis using Stata 2–3 October 2024 Washington, DC $1,395 Enroll
Panel-data analysis using Stata AND
Regression modeling using Stata
1–3 October 2024 Washington, DC $1,995 Enroll
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Notes

Enrollment is limited. This course is offered in both classroom and web-based settings.

Classroom training courses are two-day courses that run from 8:30 a.m. to 4:30 p.m. each day. These courses take 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.

Web-based training courses are four-day courses that run 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 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.