Member Training: Difference in Differences

The great majority of all regression modeling explores and tests the association between independent and dependent variables. We are not able to claim the independent variable(s) has a causal relationship with the dependent variable. There are five specific model types that allow us to test for causality. Difference in differences models are one of the five.

To use a Difference in Differences (DiD) model your data must contain:

  • measurements of the dependent variable
  • measurements of the dependent variable before and after a specific event
  • measurements for a treated and untreated group

This training focuses on the following topics:

  • Examples of fields of studies utilizing this statistical approach
  • The design of the DiD model
  • Assumptions of DiD models
  • Strengths and limitations
  • Role of covariates
  • Variation in treatment timing
Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

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About the Instructor

Jeff Meyer is a statistical consultant with The Analysis Factor, a stats mentor for Statistically Speaking membership, and a workshop instructor. Read more about Jeff here.

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