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Nathan Durst

Chicago White Sox

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SCHOLARLY PAPERS

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Scholarly Papers (1)

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Nothing Propinks Like Propinquity: Using Machine Learning to Estimate the Effects of Spatial Proximity in the Major League Baseball Draft

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Nothing Propinks Like Propinquity: Using Machine Learning to Estimate the Effects of Spatial Proximity in the Major League Baseball Draft

University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2022-169
Number of pages: 32 Posted: 05 Jan 2023
Majid Ahmadi, Nathan Durst, Jeff Lachman, John A. List, Mason List, Noah List and Atom Vayalinkal
University of Chicago, Chicago White Sox, Chicago White Sox, University of Chicago - Department of Economics, University of Chicago, Harvard University and University of Toronto
Downloads 55 (1,060,784)

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Nothing Propinks Like Propinquity: Using Machine Learning to Estimate the Effects of Spatial Proximity in the Major League Baseball Draft

NBER Working Paper No. w30786
Number of pages: 31 Posted: 26 Dec 2022 Last Revised: 14 Apr 2023
Majid Ahmadi, Nathan Durst, Jeff Lachman, John A. List, Mason List, Noah List and Atom Vayalinkal
University of Chicago, Chicago White Sox, Chicago White Sox, University of Chicago - Department of Economics, University of Chicago, Harvard University and University of Toronto
Downloads 28 (1,385,838)

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