NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Administrative Data Linking and Statistical Power Problems in Randomized Experiments

Sarah Tahamont, Zubin Jelveh, Aaron Chalfin, Shi Yan, Benjamin Hansen

NBER Working Paper No. 25657
Issued in March 2019, Revised in November 2019

---- Acknowledgments ----

We extend our sincere thanks to Melissa McNeill at the University of Chicago Crime Lab New York for her work in developing the records matching algorithm employed in this paper. We would also like to thank Leslie Kellam, Ryang Hui Kim, Srivatsa Kothapally, Jens Ludwig, Jim Lynch, Mike Mueller-Smith, Aurelie Ouss, Greg Ridgeway, Jesse Rothstein and Greg Stoddard for helpful comments on this project. We thank Arnold Ventures for its generous support of the University of Chicago Crime Lab New York. Points of view or opinions contained within this document are those of the authors. They do not necessarily represent those of Arnold Ventures or the National Bureau of Economic Research. Of course, all remaining errors are our own. Corresponding Author: Sarah Tahamont, Email: tahamont@umd.edu

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