When Bankers Go to Hail: Insights into Fed–Bank Interactions from Taxi Data

The authors are grateful to editor Agostino Capponi, an associate editor, two anonymous referees, Jack Bao, Marianne Bertrand, Jonathan Brogaard, Bob DeYoung, Dave Dicks, Elyas Elyasiani, Zhiguo He, Ivan Ivanov, Petri Jylhä (discussant), Steve Karolyi, Bryan Kelly, Elisabeth Kempf, Paul Koch, Randall Kroszner, David Lucca, Felix Meschke, Joe Peek, Jianping Qi, Jon Scott, Amit Seru, Azeem Shaikh, James Traina, Harald Uhlig, Ed Van Wesep (discussant), Mihail Velikov, Annette Vissing-Jørgensen, Michael Weber, Jide Wintoki, Linghang Zeng (discussant), Luigi Zingales, Eric Zwick, and seminar participants at Chicago Booth, the University of Kansas, and Temple University, as well as participants at the Stevanovich Center’s Market Microstructure and High Frequency Data conference, the Bank of Canada’s Workshop on Data Science for Central Banks, the 2018 Northern Finance Association conference (Charlevoix), the 2019 CMU-Pitt-Penn State conference, the 2019 Front Range Conference, the 2019 Future of Financial Information Conference (Stockholm), and the 2019 Conference on Intelligent Information Retrieval in Accounting and Finance (Beijing) for their helpful discussions and comments. The authors also thank individuals who provided insights into the conduct of business in New York City, and Weijia Zhao for verifying some of the code and econometric derivations. David Andrew Finer conducted most of his work as a student in the University of Chicago Booth School of Business’s Stevens Doctoral Program. The authors thank Ken French for sharing data on his website. All errors are the authors’.