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Publications

by alumni of

University of California-Berkeley → Walter A. Haas School of Business → Economic Analysis & Policy Group (EAP)

These are publications listed in RePEc written by alumni of the above institution who are registered with the RePEc Author Service and listed in the RePEc Genealogy. List of alumni. For a list of publications by current members of the department, see here. Register yourself.

This page is updated in the first days of each month.

| Working papers | Journal articles |

Working papers

2026

  1. Bo Cowgill & Pablo Hernandez-Lagos & Nataliya Langburd Wright, 2026, "Does AI Cheapen Talk? Theory and Evidence From Global Entrepreneurship and Hiring," CESifo Working Paper Series, CESifo, number 12508.

2025

  1. Bo Cowgill & Zikai Xu, 2025, "Network Formation through Mechanism Design," Working Papers, NET Institute, number 25-01, Aug.

2024

  1. Bo Cowgill & Danny Bahar & Jorge Guzman, 2024, "Authors' response to Unjournal evaluations of "Legalizing Entrepreneurship"," The Unjournal Evaluations, The Unjournal, number 2024-999, Jun, DOI: None.
  2. Bo Cowgill & Jonathan M. V. Davis & B. Pablo Montagnes & Patryk Perkowski, 2024, "Stable Matching on the Job? Theory and Evidence on Internal Talent Markets," CESifo Working Paper Series, CESifo, number 11120.
  3. Bo Cowgill & Patryk Perkowski, 2024, "Delegation in Hiring: Evidence from a Two-Sided Audit," CESifo Working Paper Series, CESifo, number 11129.
  4. Bo Cowgill & Amanda Y. Agan & Laura K. Gee, 2024, "The Gender Disclosure Gap: Salary History Bans Unravel When Men Volunteer Their Income," CESifo Working Paper Series, CESifo, number 11168.

2023

  1. Amanda Agan & Bo Cowgill & Laura Gee, 2023, "The Tradeoffs of Transparency: Measuring Discrimination When Subjects Are Told They Are in an Experiment," Natural Field Experiments, The Field Experiments Website, number 00781.

2022

  1. Dany Bahar & Bo Cowgill & Jorge Guzman, 2022, "Legalizing Entrepreneurship," NBER Working Papers, National Bureau of Economic Research, Inc, number 30624, Nov.

2021

  1. Bo Cowgill & Andrea Prat & Tommaso Valletti, 2021, "Political Power and Market Power," Papers, arXiv.org, number 2106.13612, Jun, revised May 2023.
  2. Amanda Y. Agan & Bo Cowgill & Laura K. Gee, 2021, "Salary History and Employer Demand: Evidence from a Two-Sided Audit," NBER Working Papers, National Bureau of Economic Research, Inc, number 29460, Nov.

2020

  1. Bo Cowgill & Fabrizio Dell'Acqua & Sandra Matz, 2020, "The Managerial Effects of Algorithmic Fairness Activism," Papers, arXiv.org, number 2012.02393, Dec.
  2. Bo Cowgill & Fabrizio Dell'Acqua & Samuel Deng & Daniel Hsu & Nakul Verma & Augustin Chaintreau, 2020, "Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics," Papers, arXiv.org, number 2012.02394, Dec.

2019

  1. Bo Cowgill, 2019, "Bias and Productivity in Humans and Machines," Upjohn Working Papers, W.E. Upjohn Institute for Employment Research, number 19-309, Aug.

2018

  1. Bo Cowgill & Cosmina Dorobantu, 2018, "Competition and Specificity in Market Design: Evidence from Geotargeted Advertising," Working Papers, NET Institute, number 18-09, Sep, revised Sep 2018.

2013

  1. Bo Cowgill & Cosmina Dorobantu & Bertin Martens, 2013, "Does online trade live up to the promise of a borderless world? Evidence from the EU Digital Single Market," JRC Working Papers on Digital Economy, Joint Research Centre, number 2013-08, Sep.
  2. Burks, Stephen V. & Cowgill, Bo & Hoffman, Mitchell & Housman, Michael, 2013, "The Value of Hiring through Referrals," IZA Discussion Papers, IZA Network @ LISER, number 7382, May.

Journal articles

2025

  1. Amanda Y. Agan & Bo Cowgill & Laura K. Gee, 2025, "Salary History and Employer Demand: Evidence from a Two-Sided Audit," American Economic Journal: Applied Economics, American Economic Association, volume 17, issue 3, pages 380-413, July, DOI: 10.1257/app.20230365.
  2. Bo Cowgill & Jonathan M. V. Davis & B. Pablo Montagnes & Patryk Perkowski, 2025, "Stable Matching on the Job? Theory and Evidence on Internal Talent Markets," Management Science, INFORMS, volume 71, issue 3, pages 2508-2526, March, DOI: 10.1287/mnsc.2023.01373.

2024

  1. Bo Cowgill & Amanda Agan & Laura K. Gee, 2024, "The Gender Disclosure Gap: Salary History Bans Unravel When Men Volunteer Their Income," Organization Science, INFORMS, volume 35, issue 5, pages 1571-1588, September, DOI: 10.1287/orsc.2023.17384.
  2. Bo Cowgill & Patryk Perkowski, 2024, "Delegation in Hiring: Evidence from a Two-Sided Audit," Journal of Political Economy Microeconomics, University of Chicago Press, volume 2, issue 4, pages 852-882, DOI: 10.1086/732127.

2023

  1. Dany Bahar & Bo Cowgill & Jorge Guzman, 2023, "Refugee Entrepreneurship: The Case of Venezuelans in Colombia," AEA Papers and Proceedings, American Economic Association, volume 113, pages 352-356, May, DOI: 10.1257/pandp.20231020.

2020

  1. Amanda Agan & Bo Cowgill & Laura Katherine Gee, 2020, "Do Workers Comply with Salary History Bans? A Survey on Voluntary Disclosure, Adverse Selection, and Unraveling," AEA Papers and Proceedings, American Economic Association, volume 110, pages 215-219, May, DOI: 10.1257/pandp.20201123.
  2. Bo Cowgill & Fabrizio Dell'Acqua & Sandra Matz, 2020, "The Managerial Effects of Algorithmic Fairness Activism," AEA Papers and Proceedings, American Economic Association, volume 110, pages 85-90, May, DOI: 10.1257/pandp.20201035.
  3. Bo Cowgill & Megan T. Stevenson, 2020, "Algorithmic Social Engineering," AEA Papers and Proceedings, American Economic Association, volume 110, pages 96-100, May, DOI: 10.1257/pandp.20201037.

2017

  1. Kathryn Rudie Harrigan & Maria Chiara Guardo & Bo Cowgill, 2017, "Multiplicative-innovation synergies: tests in technological acquisitions," The Journal of Technology Transfer, Springer, volume 42, issue 5, pages 1212-1233, October, DOI: 10.1007/s10961-016-9514-3.

2015

  1. Stephen V. Burks & Bo Cowgill & Mitchell Hoffman & Michael Housman, 2015, "The Value of Hiring through Employee Referrals," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 130, issue 2, pages 805-839.
  2. Bo Cowgill & Eric Zitzewitz, 2015, "Corporate Prediction Markets: Evidence from Google, Ford, and Firm X," The Review of Economic Studies, Review of Economic Studies Ltd, volume 82, issue 4, pages 1309-1341.

2014

  1. Mingyu Joo & Kenneth C. Wilbur & Bo Cowgill & Yi Zhu, 2014, "Television Advertising and Online Search," Management Science, INFORMS, volume 60, issue 1, pages 56-73, January, DOI: 10.1287/mnsc.2013.1741.

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