EconPapers    
Economics at your fingertips  
 

Selecting Directors Using Machine Learning

Isil Erel, Léa H Stern, Chenhao Tan and Michael Weisbach

A chapter in Big Data: Long-Term Implications for Financial Markets and Firms, 2021, pp 3226-3264 from National Bureau of Economic Research, Inc

JEL-codes: C10 C45 G30 M12 M14 M51 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (24)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Selecting Directors Using Machine Learning (2021) Downloads
Working Paper: Selecting Directors Using Machine Learning (2018) Downloads
Working Paper: Selecting Directors Using Machine Learning (2018) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberch:14600

Ordering information: This item can be ordered from
http://www.nber.org/chapters/c14600

Access Statistics for this chapter

More chapters in NBER Chapters from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2025-03-22
Handle: RePEc:nbr:nberch:14600