Information on two separate (Main and Advanced) Causal Inference Workshops at Northwestern Law School this summer follows. Both workshops will be taught by leading causal inference researchers. Registration for each is limited to 100 participants.
Main workshop: Monday – Friday, July 7-11, 2014 [at Northwestern]
Advanced workshop: Wednesday - Friday, August 13-15, 2014 [at Duke]
For information and to register for either or both workshops: (click here)
Main Workshop Overview and Target Audience: Most empirical methods courses survey a variety of methods. We will begin instead with the goal of causal inference, and discuss how to design research to come closer to that goal. The methods are often adapted to a particular study. Some of the methods we will discuss are covered in PhD programs, but rarely in depth, and rarely with a focus on causal inference and on which methods to prefer for messy, real-world datasets with limited sample sizes. Each day will include with a Stata “workshop” to illustrate selected methods with real data and Stata code. We will assume knowledge, at the level of an upper-level college econometrics or similar course,of multivariate regression, including OLS, logit, and probit; basic probability and statistics including conditional and compound probabilities, confidence intervals, t-statistics, and standard errors; and some understanding of instrumental variables.
Advanced Workshop Overview and Target Audience: The advanced workshop seeks to provide an in-depth discussion of selected topics at the causal inference research frontier.Our target audience is empirical researchers who are familiar with the basics of causal inference (from our main workshop or otherwise), and want to extend their knowledge.
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