This session is the third of a three part series on regression discontinuity designs. We will discuss common problems that arise in applied RD and how they can be overcome.
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This session is the second of a three part series on regression discontinuity designs. We will discuss smoothers, bandwidth selection, confidence intervals, and covariate adjustment.
This session is the first of a three part series on regression discontinuity designs. We will cover a number of real-world examples and discuss different ways of analyzing them.
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,