PPOL561 | Reading List

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Week 1: Course Introduction & Research Design

• Required Readings:

  • Please review course syllabus.

• Suggested Reading:

  • King, G., Keohane, R.O. and Verba, S., 1994. “Designing social inquiry: Scientific inference in qualitative research.” Princeton university press.

Week 2: Data wrangling in R

• Required Readings:

  • Grolemund & Wickham. 2017. “R for Data Science”.

    • Ch. 10: Tibbles
    • Ch. 12: Tidy Data
    • Ch. 15: Dates and Times
    • Ch. 5: Data Transformation
    • Ch. 18: Pipes
    • Ch. 3: Data Visualization
    • Ch. 7: Exploratory Data Analysis

• Suggested Reading:

  • Data Types and Structures - Software Carpentry

  • Grolemund & Wickham. 2017. “R for Data Science”.

    • Ch. 20: Vectors
    • Ch. 21: Iteration
    • Ch. 19: Functions
    • Ch. 14: Strings
    • Ch. 11: Import Data
    • Ch. 27: R Markdown
    • Ch. 8: Workflow: Projects

Week 3: Introduction to Causal Inference

• Required Readings:

  • Cunningham. 2018. “Causal Inference: The Mixtape”.

    • Chapter 4: “Directed Acyclical Graphs” (Canvas)

    • Chapter 5: “Potential Outcomes Causal Model” (Canvas)

Week 4: OLS, Confounders, & Simulation

• Required Readings:

  • Bailey. 2016. “Real Stats: Using Econometrics for Political Science and Public Policy”.

    • Refresh on Chapters. 5 - 7

  • Schrodt. 2014. “Seven deadly sins of contemporary quantitative political analysis”.

Week 5: Panel Data & Difference-in-Difference

• Required Readings:

  • Bailey. 2016. “Real Stats: Using Econometrics for Political Science and Public Policy”.

    • Chapter 8

Week 6: Instrumental Variables

• Required Readings:

  • Bailey. 2016. “Real Stats: Using Econometrics for Political Science and Public Policy”.

    • Chapter 9

Week 7: Experiments

• Required Readings:

  • Bailey. 2016. “Real Stats: Using Econometrics for Political Science and Public Policy”.

    • Chapter 10

Week 8: Regression Discontinuity

• Required Readings:

  • Bailey. 2016. “Real Stats: Using Econometrics for Political Science and Public Policy”.

    • Chapter 11

Week 10: Matching

• Required Readings:

  • Ho et. al 2007 (Canvas)

• Suggested Reading:

  • King and Neilson 2018 (Canvas)
  • Austin 2010 (Canvas)
    
  • matchit.pdf (Canvas)

Week 11: Synthetic Control

• Required Readings:

  • Cunningham. 2018. “Causal Inference: The Mixtape”.

    • Chapter 11: “Synthetic Control” (Canvas)

• Suggested Reading:

  • Abadie et al. 2010, “Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program” (Canvas)
  • Abadie et al. 2015, “Comparative Politics and the Synthetic Control Method” (Canvas)

Week 12: Binary Outcomes

• Required Readings:

  • Bailey. 2016. “Real Stats: Using Econometrics for Political Science and Public Policy”.

    • Refresh on Chapter 12

  • Hanmer and Kalkan. 2013. “Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models”

• Suggested Reading:

  • Long. 1997. “Regression models for categorical and limited dependent variables”.

    • Chapter 3 (Canvas)

Week 13: Ordered & Multinomial Outcomes

• Required Readings:

  • Read Lecture Summary handouts:

    • Ordered Outcomes (Canvas)

    • Multinomial Outcomes (Canvas)

• Suggested Reading:

  • Long. 1997. “Regression models for categorical and limited dependent variables”.

    • Chapter 5 & 6 (Canvas)

Week 14: Selection

• Required Readings:

  • Bailey. Draft Chapter. “Selection” (Canvas)

  • Wooldridge. “Introductory Econometrics”. Pg. 627 - 633. (Canvas)

• Suggested Reading:

  • Berinsky, Adam. 1999. “The Two Faces of Public Opinion” American Journal of Political Science 43: 1209-1230.

  • Lemke, Douglas and William Reed. 2001. “War and Rivalry among Great Powers” American Journal of Political Science 45: 457-469.