Biased estimators? Comparing status and statistical theories of gender discrimination

By Shelley J. Correll, S. Benard. 2006

115 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/078588cb82f976da62bbc9fb0a99bf52b1e4d36e

How researchers see this paper

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

In Economics and Econometrics

1. Magnus Bygren
2. Tristan L. Botelho
3. Mabel Abraham

In Gender Studies

1. Magnus Bygren
2. Michael Gähler
3. Anni Erlandsson
4. Tristan L. Botelho
5. Mabel Abraham

In Sociology and Political Science

1. Magnus Bygren
2. Michael Gähler
3. Anni Erlandsson
4. Tristan L. Botelho
5. Mabel Abraham

Citations in the corpus

• Pursuing Quality: How Search Costs and Uncertainty Magnify Gender-based Double Standards in a Multistage Evaluation Process (2017, background): “Therefore, because men are generally more highly valued and perceived as more competent than women (Berger, 1977; Correll and Ridgeway, 2003), this reliance on gender often leads to a female disadvantage (or male advantage) (England et al., 1994; Correll and Benard, 2006).”
• Do Employers Prefer Fathers? Evidence from a Field Experiment Testing the Gender by Parenthood Interaction Effect on Callbacks to Job Applications (2017, background): “Discrimination might also derive from a cognitive bias operating over and above the actual productivity of groups (cf., Correll and Benard, 2006).”