Graduate Methods Master Class


Graduate courses in quantitative methods can be outstanding in their depth and breadth; at the same time, by necessity, important topics are omitted from any course sequence. The Graduate Methods Master Class is an attempt to offer a technical introduction to important topics of special interest to its participants. Each graduate student participant may offer a seminar on a topic or method of interest in which he or she has expertise. The seminar will be aimed toward those with some facility and interest in quantitative methods, but who may not have prior exposure to the specific topic. The goal of each seminar is to enable the participants to more adeptly read rigorous articles employing the topic, and to enable the participants to begin utilizing the methods in their own research.

We meet on Friday mornings at the Institute for Quantitative Social Science (IQ), room 22.

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  • Causal Inference slides by Olivia Lau (printer friendly version).
  • Imputation Methods for Causal Inference slides by Ryan T. Moore (printer friendly version).
  • Matching and Quantile Causal Effects slides and paper by Alexis Diamond.
  • Diff-in-diffs and Instrumental Variables slides by Shanna Rose.
  • Selection Models slides by Dan Hopkins.
  • Ecological Inference slides by Jim Greiner.
  • Bayesian Models for 2x2 Ecological Inference by Kosuke Imai. (For 15 March)
  • Time-Series Cross-Section slides, one-page cheat sheet, and R code by Ben Goodrich.
  • Statistical Graphics notes by Alison Post. (Note: Meeting in Littauer, M-17)
  • Event Count and Zero-Inflated Models slides by Erin Simpson and Michael Horowitz.

    Questions? Contact Ryan T. Moore (rtmoore (at) fas (dot) harvard (dot) edu) or Dan Hopkins (dhopkins (at) fas (dot) harvard (dot) edu). We hope to see you soon!

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    Ryan T. Moore
    Last Updated 29 April 2005