6 citations · 10 across the 3 of their papers we have counts for
7 papers
A Design-Based Minimax Theory for Network Experiments
Vardis Kandiros, Christopher Harshaw, Fredrik Sävje
Network experiments are used throughout the social and medical sciences to investigate causal effects under the presence of interference. While a large body of work has developed i…
On the reliability of published findings using the regression discontinuity design in political science
Drew Stommes, P. M. Aronow, Fredrik Sävje
The regression discontinuity (RD) design offers identification of causal effects under weak assumptions, earning it a position as a standard method in modern political science rese…
Review of The Book of Why: The New Science of Cause and Effect
Peter M. Aronow, Fredrik Sävje
Book review published as: Aronow, Peter M. and Fredrik Sävje (2020), "The Book of Why: The New Science of Cause and Effect." Journal of the American Statistical Association, 115: 4…
On the inconsistency of matching without replacement
Fredrik Sävje
The paper shows that matching without replacement on propensity scores produces estimators that generally are inconsistent for the average treatment effect of the treated. To achie…
Average treatment effects in the presence of unknown interference
Fredrik Sävje, Peter M. Aronow, Michael G. Hudgens
We investigate large-sample properties of treatment effect estimators under unknown interference in randomized experiments. The inferential target is a generalization of the averag…
Generalized full matching and extrapolation of the results from a large-scale voter mobilization experiment
Fredrik Sävje, Michael J. Higgins, Jasjeet S. Sekhon
Matching is an important tool in causal inference. The method provides a conceptually straightforward way to make groups of units comparable on observed characteristics. The use of…