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PPHA-31100: Statistics for Public Policy II

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University of Chicago, Harris School of Public Policy (Harris)

PPHA-3100: Statistics for Public Policy I

Description: A continuation of PP31000, this course focuses on the statistical concepts and tools used to study the association between variables. This course will introduce students to regression analysis and explore its uses in policy analysis. PP31100 or PP31300 required of all first-year students.


Introduction to Econometrics (2nd Ed.) by James H. Stock and Mark W. Watson

Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge

Basic Econometrics by Damodar Gujarati and Dawn Porter

Faculty: James Sallee

Source: Syllabus downloaded from, 3 April 2014.


Teaching Topics Addressed in this Course, Organized by Public Management Subject


Commentary by the Atlas editors: The class titles in the Syllabus suggest a number of the potential topics to be developed for the Atlas:

  • Causality
  • Randomized Control Trials
  • Bivariate Linear Regression
  • Multivariate Linear Regression
  • Binary Dependent Variables
  • Time Series Data
  • Simultaneity and Multiple Inference
  • Careful Design
  • Natural Experiments
  • Panel Data Strategies
  • Instrumental Variables
  • Regression Discontinuity

Page created by: Ian Clark on 3 April 2014. The content presented on this page, except in the Commentary, is drawn directly from the source(s) cited above, and consists of direct quotations or close paraphrases.



Chicago Statistics II, 31100 Syllabus Sallee.pdfChicago Statistics II, 31100 Syllabus Sallee

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© University of Toronto 2008
School of Public Policy and Governance