Discrimination in Mortgage Lending: A Critical Review of the Literature
By Michael LaCour-Little. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Andrea Romei
- Sara Hajian
- Faisal Kamiran
- Indrė Žliobaitė
- Salvatore Ruggieri
- Lu Zhang
- Asmita Kashid
- Dino Pedreschi
Citations in the corpus
- Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019, background): “In the literature, there have been a lot of reports of algorithms resulting in unfair treatment, e.g., in racial profiling and redlining (Squires 2003), mortgage discrimination (LaCour-Little 1999), personnel selection (Stoll, Raphael, and Holzer 2004), and employment (Kuhn 1990).”
- Discrimination-aware classification (2011, background): “The authors of [63, 56] give an excellent review and existing evidence of the discrimination in mortgage lending and claim that minorities are more than twice as likely to be denied a mortgage as whites.”
- The Democratization of Personal Consumer Loans? Determinants of Success in Online Peer-to-peer Lending Communities (2008, methodology): “LaCour-Little (1999) performed a meta-analysis of 35 articles discussing racial discrimination in the mortgage industry.”
- Integrating induction and deduction for finding evidence of discrimination (2009, background): “From a research point of view, the literature in economics and social sciences has given evidence of unfair treatment in racial profiling and redlining [5, 23], mortgage lending [16], consumer market [21], personnel selection [11], and wages [15].”
- Gentrification, Segregation, and Discrimination in the American Urban System (2004, background): “…that white people tend to define an `integrated' neighborhood in more `lily-white' terms than do minorities, so lending to minorities will reduce the bid prices offered by white people wherever minorities are seen as `out of place' or as `too numerous' (Holloway, 1998; LaCour-Little, 1999).”
- A multidisciplinary survey on discrimination analysis (2013, background): “A critical survey of theoretical models and empirical studies since 1975 on racial disparities in mortgage-lending markets in the context of the fair housing legislation can be found in LaCour-Little (1999).”
- Entrepreneurs' Gender and Financial Constraints: Evidence from International Data (2009, background): “LaCour-Little (1999) and Turner and Skidmore (1999) offer reviews of these studies.”
- Discrimination-aware data mining (2008, background): “In social sense,however,discrimination refers speci.cally to an action based on prejudice resulting in unfair treatment of people on the basis of their membership to a category, without regard to individual merit.”
- Data mining for discrimination discovery (2010, background): “The literature in those research .elds has given evidence of unfair treatment in racial pro.ling and redlining [Squires 2003], mortgage discrimination [LaCour-Little 1999], personnel selection discrimination [Holzer et al. 2004; Kaye and Aickin 1992], and wages discrimination [Kuhn 1987].”