Policy Analysis Using Interrupted Time Series

Course
en
English
30 h
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Source
  • From www.edx.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

Syllabus

Week 1: Course overview

  • Introduction to ITS and RD designs
  • Assumptions and potential biases
  • Data sources and requirements
  • Example studies
  • An introduction to R (optional)

Week 2: Single series ITS

  • Data setup and adding variables
  • Model selection
  • Addressing autocorrelation
  • Graphical presentation

Week 3: ITS with a control group

  • Data setup
  • Adding a control to the model
  • Graphical presentation
  • Predicting policy impacts

Week 4: Extensions

  • Advanced modeling issues in ITS and RD
  • Non-linear Trends · Differencing
  • “Wild” Points and Transition periods
  • Adding a Second Intervention

Week 5: Regression Discontinuities and Wrap-up

  • Regression Discontinuities
  • Any Remaining Questions

Prerequisite

Participants should have an understanding of linear regression, and familiarity with data handling in a major statistical package (R, SAS, SPSS, STATA, etc.). Course content is taught in the R statistical package, so familiarity with R / RStudio will be an asset.

Instructors

Michael Law
Associate Professor
University of British Columbia

Editor

The University of British Columbia was founded in Vancouver in 1908. The College of British Columbia is one of the most prestigious universities in North America, and ranks among the top universities in the world. UBC has more than 61,000 students, spread over the historic Vancouver campus (1908) and the Okanagan campus (2005), and an annual budget of 2.3 billion dollars.

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