Discrimination in the Credit and Housing Markets: Findings and Challenges

Dymski, Gary A.

doi:10.4337/9781847200150.00016

Cited by 61 publications

(47 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dymski, 2006). In this paper, we define gender discrimination in lending as the economically unjustified awarding of inferior credit conditions to female borrowers.…”

mentioning

confidence: 99%

Credit to Women Entrepreneurs: The Curse of the Trustworthier Sex

Agier

Szafarz

2010

SSRN Journal

View full text Add to dashboard Cite

Women entrepreneurs are known to receive smaller loans than men while repaying swifter. Does this evidence stem from business needs or from double-standard screening? To address this issue, we develop a new estimation method and apply it to an exceptionally exhaustive database from a Brazilian microfinance institution. The empirical results point to gender discrimination. We indeed show that women entrepreneurs receive smaller loans and incur lower losses for the lender. Additionally, we show that reducing the information asymmetry through lending relationship brings no remedy to the curse of the trustworthier sex.

show abstract

“…Dymski, 2006). In this paper, we define gender discrimination in lending as the economically unjustified awarding of inferior credit conditions to female borrowers.…”

mentioning

confidence: 99%

Credit to Women Entrepreneurs: The Curse of the Trustworthier Sex

Agier

Szafarz

2010

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…Early work found little evidence of redlining (Schafer and Ladd, 1981;Benston and Horsky, 1992;Munnell et al, 1996;Tootell, 1996) although the majority of later studies found that poor and minority neighbourhoods have less access to mortgage funding (Phillips-Patrick and Rossi, 1996;Siskin and Cupingood, 1996;Ross and Yinger, 1999) and are also more likely to be subject to predatory lending practices than comparable white neighbourhoods (Calem et al, 2004;Williams et al, 2005;Dymski, 2006).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Evidence shows that ethnic minorities have less access to mortgage funding (Phillips-Patrick and Rossi, 1996;Siskin and Cupingood, 1996;Ross and Yinger, 1999) are more likely to be subject to predatory lending practices (Calem et al, 2004;Williams et al, 2005;Dymski, 2006), have higher mortgage application rejection rates and are offered less attractive terms (Black et al, 1978;Munnell et al, 1996;Ross and Yinger 1999), and pay more (Oliver and Shapiro, 1997;Black et al, 2003;Courchane and Nickerson, 1997;Rosenblatt, 1999) than whites with similar credit and other features. Outside the mortgage market, studies on consumer credit have also found that loan approval rates are lower for minorities (Duca and Rosenthal, 1993;Edelberg, 2007;Lin, 2010).…”

Section: Introductionmentioning

confidence: 99%

Access to consumer credit in the UK

Deku

Kara

Molyneux

2015

The European Journal of Finance

View full text Add to dashboard Cite

This paper investigates household access to consumer credit in the UK using information on 58,642 households between 2001 and 2009. Employing a treatment effects model and propensity score matching, we find that non-white households are less likely to have financing compared to white households. We also find that even if they obtain financing the intensity of borrowing is lower than for white households. Overall, non-white households seem to be in a weaker position to access consumer credit in the UK.JEL classification: D14, J14, G21

show abstract

“…18,19 However, even if firms do not know the exact location of each worker, they know that blacks use public transportation while whites use cars to commute (this will be shown below). In other words, firms do not observe x but they observe b x B and b x W .…”

Section: Wage Determinationmentioning

confidence: 99%

Car ownership and the labor market of ethnic minorities

Gautier

Zénou

2010

Journal of Urban Economics

View full text Add to dashboard Cite

We show how small initial wealth differences between low skilled black and white workers can generate large differences in their labor-market outcomes. This even occurs in the absence of a taste for discrimination against blacks or exogenous differences in the distance to jobs. Because of the initial wealth difference, blacks cannot afford cars while whites can. Car ownership allows whites to reach more jobs per unit of time and this gives them a better bargaining position. As a result, in equilibrium, blacks end up with both higher unemployment rates and lower wages than whites. Furthermore, it takes more time for blacks to reach their jobs even though they travel less miles. Those predictions are consistent with the data. Better access to capital markets or better public transportation will reduce the differences in labor market outcomes.

show abstract

Discrimination in the Credit and Housing Markets: Findings and Challenges

Cited by 61 publications

References 95 publications

Credit to Women Entrepreneurs: The Curse of the Trustworthier Sex

Credit to Women Entrepreneurs: The Curse of the Trustworthier Sex

Access to consumer credit in the UK

Car ownership and the labor market of ethnic minorities

Contact Info

Product

Resources

About