We would like to invite you to attend our second "advanced" workshop on Research Design for Causal Inference. The workshop builds on our "main" workshop. The workshop is sponsored by Northwestern Law School, the Center for the Study of Democracy and the Rule of Law at Duke Law School, and the Society for Empirical Legal Studies.
Sunday-Wednesday, July 19-22, 2015, at Northwestern Law School, 375 East Chicago Avenue, Chicago, IL
Our regular "Main" Workshop on Research Design for Causal Inference will be held this year on July 13-17, 2015, at Northwestern Law School.
The advanced causal inference workshop seeks to provide an in-depth discussion of selected topics that are beyond what we can cover in the main workshop. Principal topics for 2014 include: Day 1: Choosing estimands (the science), and how choice of estimand affects research design. Principal stratification methods (a little known, but very powerful extension of the always taker/never-taker/complier/defier categories developed in “causal IV”); advanced matching methods; multiple imputation of missing potential outcomes. Day 2: Simulation studies; bootstrap methods; advanced topics in regression discontinuity design. Day 3: Causal inference with panel data. Topics will include handling treatment heterogeneity, handling time dynamics, synthetic controls, marginal structural models, and standard errors.
Our target audience is empirical researchers who are reasonably familiar with the basics of causal inference (from our main workshop or otherwise), and want to extend their knowledge. We will assume familiarity with the potential outcomes notation, randomization inference, difference-in-differences, regression discontinuity, panel data, and instrumental variable designs, but will not assume expertise in any of these areas.
We are fortunate to have recruited outstanding experts in causal research design to teach the workshop sessions (in order of appearance)
General schedule: Breakfast available at 8:30. “Lecture” sessions will run roughly 9:00-noon, lunch and lunch talk noon-1:45, sessions 1:45-4:45. All times except starting times are approximate.
Registration and welcome breakfast: July 19, 8:00 a.m.
Sunday-Monday July 19-20 (Justin McCrary)
Sunday: Simulation and bootstrap
Conducting simulation studies. Inference and testing using the bootstrap, including adapting bootstrap methods to your research design. Different bootstrap flavors and asymptotic refinement.
Monday: Non-linear methods
Selected issues for non-linear models, including logit, conditional logit, probit, and count models. Using non-linear models with panel data. Maximum likelihood and quasi maximum likelihood estimation. Inconsistency of non-linear models with fixed effects.
Tuesday July 21 (Alberto Abadie)
Advanced Matching, DiD, and Causal IV
Selected topics in matching on covariates. Synthetic controls. “Causal IV” with covariates and Abadie’s “magic kappa.” Introduction to principal stratification, as a generalization of the complier-always taker-never taker-defier categories for causal IV
Wednesday July 22 (Tyler VanderWeele)
Causal mediation analysis. [*more to come from Tyler]
Questions about the workshop
Please email Bernie Black email@example.com or Mat McCubbins firstname.lastname@example.org for substantive questions or fee waiver requests, and Michael Cooper email@example.com for logistics and registration.