How large is that treatment effect, really? (my talk at NYU economics department Thurs 18 Apr 2024, 12:30pm)

Statistical Modeling, Causal Inference, and Social Science 2024-04-11

Summary:

19 W 4th Street, Room 517: How large is that treatment effect, really? Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University “Unbiased estimates” aren’t really unbiased, for a bunch of reasons, including aggregation, selection, extrapolation, and … Continue reading

Link:

https://statmodeling.stat.columbia.edu/2024/04/11/how-large-is-that-treatment-effect-really-my-talk-at-nyu-economics-department-thurs-18-apr-2024-1230pm/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

causal

Authors:

Andrew

Date tagged:

04/11/2024, 10:31

Date published:

04/11/2024, 09:33