Technological Innovation and Labor Income Risk
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NBER Working Paper No. 26964
---- Acknowledgments ----
The research reported herein was performed pursuant to a grant from the U.S. Social Security Administration (SSA) funded as part of the Retirement and Disability Research Consortium. The authors also gratefully acknowledge financial support from the Becker-Friedman Institute for Research in Economics and the MIT Sloan School of Management. We thank Ufuk Akcigit, Effi Benmelech, Nicholas Bloom, Stephane Bonhomme, Jack Favilukis, Carola Frydman, David Hémous, Gregor Jarosch, Thibaut Lamadon, Ilse Lindenlaub, Elena Manresa, Adrien Matray, Derek Neal, Serdar Ozkan, Monika Piazzesi, Luigi Pistaferri, Martin Schneider, Kelly Shue, Toni Whited, and seminar participants in the Social Security Administration, Bank of Portugal, CEAR/GSU, Duke University, Duke/UNC Asset Pricing Conference, University of Chicago, UNC, the LAEF/Advances in Macro Finance workshop, Minnesota Asset Pricing Conference, MIT Sloan, University of Michigan, Northwestern, Stanford, SITE, and Yale for helpful comments and discussions. We are particularly grateful to Pat Jonas, Kelly Salzmann, and Gerald Ray at the Social Security Administration for their feedback during our SSA seminar presentation, help, and support. Further, we thank Josh Rauh, Irina Stefanescu, Jan Bena and Elena Simintzi for sharing their data and Fatih Guvenen and Serdar Ozkan for sharing their replication code. Brandon Dixon, Alejandro Hoyos Suarez, Kyle Kost, Andrei Nagornyi, Bryan Seegmiller, and Jiaheng Yu provided outstanding research assistance. The views expressed herein are those of the authors and not necessarily those of the Social Security Administration or the National Bureau of Economic Research.