2020

• January 14
  • First session. No readings.
• January 21
  • Jeff Gill. “Generalized Linear Models.”
    
• January 28
  • Nathaniel Beck. “Estimating Grouped Data Models with a Binary-Dependent Variable and Fixed Effects via a Logit versus a Linear Probability Model: The Impact of Dropped Units.” (2019)
• February 18
  • Jeff Gill. “Monte Carlo Methods.”
  • Jonathon Homola and Jeff Gill. “A Flexible Class of Bayesian Frailty Models For Political Science Data.” (2019)
  • Jeff Gill. “Monte Carlo and Related Iterative Methods.” Chapter from Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition (2014)
• February 25
  • Graeme Blair and Kosuke Imai. “Statistical Analysis of List Experiments.” (2012)
• March 3
  • Gary King and Richard Nielson. “Why Propensity Scores Should Not Be Used for Matching.” (2019)
• March 31
  • Kosuke Imai, In Song Kim, and Erik Wang. “Matching Methods for Causal Inference with Time-Series Cross-Sectional Data.” (2020)
• April 14
  • Gary King. “How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science.” (1986)
• April 21
  • Trevor Park and George Casella. “The Bayesian Lasso.” (2008)
  • The Lasso Page
  • Regularization: Ridge, Lasso and Elastic Net (Tutorial)
• May 5
  • Jennifer L. Hill and Hanspeter Kriesi. “Classification by Opinion-Changing Behavior: A Mixture Model Approach.” (2001)