Nicholas Otis

I am a PhD student at Berkeley Haas.

Email: notis@berkeley.edu

Twitter: @NickGOtis

CV

*New*

• The Uneven Impact of Generative AI on Entrepreneurial Performance (with Rowan Clarke, Solène Delecourt, David Holtz, Rembrand Koning) [ PDF ]

  • First place winner, Wharton People Analytics White Paper Competition (2024)
  • AOM best paper designation, STR division (2024)
  • Nominated for the AOM Carolyn B. Dexter Award by the STR division (2024)
  • Press: VoxDev (Podcast); Berkeley Haas News; Charter

In progress

• Job market paper: Generative AI, Entrepreneurial Networks, and Business Performance [Funded, in the field]

• Experimental Evidence on the Effects of Generative Artificial Intelligence on Diversity [Funded, in the field]

• The Effects of AI on Nascent Entrepreneurs [Funded, in the field]

Publications

• Toward a science of delivering aid with dignity: Experimental evidence and local forecasts from Kenya (with Catherine Thomas, Justin Abraham, Hazel Markus, and Gregory Walton), Proceedings of the National Academy of Sciences, 117, no. 27 (2020): 15546-15553.
  [ PDF ][ Appendix ][ Data+code ]

• Forecasting the Results of Experiments: Piloting an Elicitation Strategy, (with Stefano DellaVigna and Eva Vivalt), AEA Papers and Proceedings, vol. 110 (2020), pp. 75-79.
  [ PDF ][ Appendix ][ Data+code ]

Working papers

• Evaluating Managerial Expectations (with Mathijs de Vaan) [ PDF ]

• The Efficacy of Crowdsourced Nudges: Experimental Evidence [ PDF ]

• Policy Choice and the Wisdom of Crowds [ PDF ]

• Forecasting in the Field [ PDF ]