scholarly journals Randomization inference with general interference and censoring

Biometrics ◽  
2019 ◽  
Vol 76 (1) ◽  
pp. 235-245 ◽  
Author(s):  
Wen Wei Loh ◽  
Michael G. Hudgens ◽  
John D. Clemens ◽  
Mohammad Ali ◽  
Michael E. Emch
2021 ◽  
Vol 7 (4) ◽  
pp. eabe3404
Author(s):  
Christopher R. Berry ◽  
Anthony Fowler

Anecdotal evidence suggests that some leaders are more effective than others but observed differences in outcomes between leaders could be attributable to chance variation. To solve this inferential problem, we develop a quantitative test of leader effects that provides more reliable inferences than previous strategies, and we implement the test in the settings of politics, business, and sports. We find significant effects of political leaders, particularly in nondemocracies. We find little evidence that chief executive officers influence the performance of their firms. In addition, we find clear evidence that sports coaches matter for a wide range of outcomes in football, basketball, baseball, and hockey.


Author(s):  
Roger M White ◽  
Matthew D. Webb

In this short paper we summarize and promote randomization inference for accounting researchers. We discuss applications of randomization inference in both small sample and large sample settings, and we include several examples from our own work. We also provide guidance and sample code to researchers looking to implement randomization inference, as well as caveats to consider.


2018 ◽  
Vol 73 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Luke Keele ◽  
Luke Miratrix

2012 ◽  
Vol 107 (498) ◽  
pp. 578-591 ◽  
Author(s):  
Thomas Barrios ◽  
Rebecca Diamond ◽  
Guido W. Imbens ◽  
Michal Kolesár

2004 ◽  
Vol 99 (465) ◽  
pp. 7-15 ◽  
Author(s):  
Robert Greevy ◽  
Jeffrey H Silber ◽  
Avital Cnaan ◽  
Paul R Rosenbaum

2021 ◽  
Vol 36 (3) ◽  
Author(s):  
Eric Tchetgen Tchetgen ◽  
BaoLuo Sun ◽  
Stefan Walter

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