Lessons Learned : Statistical Techniques and Fair Lending

By Marsha J. Courchane, David Nebhut, David Nickerson. 2001

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shira Mitchell
2. Eric Potash
3. Solon Barocas
4. A. D'Amour
5. Jonathan Guryan
6. Kristian Lum
7. K. K. Charles
8. Luca Oneto

Citations in the corpus

• Algorithmic Fairness: Choices, Assumptions, and Definitions (2021, background): “The mechanism of entry into this population may reflect objectionable social structures, e.g., policing that targets racial minorities for arrest (Alexander 2012) and discrimination in loan preapplication screening (Courchane et al. 2000).”
• Taste‐Based or Statistical Discrimination: The Economics of Discrimination Returns to its Roots (2013, background): “(1992), Austin Turner and Skidmore (1999) and Courchane et al. (2000) on mortgage lending, and Goldberg (1996) on automobile pricing.”