Arbeitspapier
Bias in the legal profession: Self-assessed versus statistical measures of discrimination
Legal cases are generally won or lost on the basis of statistical discrimination measures, but it is workers' perceptions of discriminatory behavior that are important for understanding many labor-supply decisions. Workers who believe that they have been discriminated against are more likely to subsequently leave their employers and it is almost certainly workers' perceptions of discrimination that drive formal complaints to the EEOC. Yet the relationship between statistical and self-assessed measures of discrimination is far from obvious. We expand on the previous literature by using data from the After the JD (AJD) study to compare standard Blinder-Oaxaca measures of earnings discrimination to self-reported measures of (i) client discrimination; (ii) other work-related discrimination; and (iii) harassment. Overall, our results indicate that conventional measures of earnings discrimination are not closely linked to the racial and gender bias that new lawyers believe they have experience on the job. Statistical earnings discrimination is only occasionally related to increases in self-assessed bias and when it is the effects are very small. Moreover, statistical earnings discrimination does not explain the disparity in self-assessed bias across gender and racial groups.
- Language
-
Englisch
- Bibliographic citation
-
Series: IZA Discussion Papers ; No. 5831
- Classification
-
Wirtschaft
Labor Discrimination
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Economics of Gender; Non-labor Discrimination
Professional Labor Markets; Occupational Licensing
- Subject
-
labor market discrimination
lawyers
gender and racial bias
wages
- Event
-
Geistige Schöpfung
- (who)
-
Antecol, Heather
Cobb-Clark, Deborah A.
Helland, Eric
- Event
-
Veröffentlichung
- (who)
-
Institute for the Study of Labor (IZA)
- (where)
-
Bonn
- (when)
-
2011
- Handle
- URN
-
urn:nbn:de:101:1-201107133443
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Antecol, Heather
- Cobb-Clark, Deborah A.
- Helland, Eric
- Institute for the Study of Labor (IZA)
Time of origin
- 2011
Other Objects (12)
Bias in the Legal Profession: Self-Assessed versus Statistical Measures of Discrimination
Bias and Discrimination: What Do We Know?
Challenging Bias and Discrimination in Automated Border Decisions
Overweighting private information: Three measures, one bias?
AO handbook musculoskeletal outcome measures and instruments : 155 instruments evaluated and assessed
Self-assessed versus statistical evidence of labour market discrimination: The case of indigenous Australians
Correcting intraday periodicity bias in realized volatility measures
Predicting Retirement Savings Using Survey Measures of Exponential-Growth Bias and Present Bias
Anti-discrimination measures in education: A comparative policy analysis
Rotation Group Bias in Measures of Multiple Job Holding
Digital discrimination : Political bias in Internet service provision across ethnic groups
Accounting For Individual-Specific Reliability of Self-Assessed Measures of Economic Preferences and Personality Traits
Bias in the Legal Profession: Self-Assessed versus Statistical Measures of Discrimination
Bias and Discrimination: What Do We Know?
Challenging Bias and Discrimination in Automated Border Decisions
Overweighting private information: Three measures, one bias?
AO handbook musculoskeletal outcome measures and instruments : 155 instruments evaluated and assessed
Self-assessed versus statistical evidence of labour market discrimination: The case of indigenous Australians
Correcting intraday periodicity bias in realized volatility measures
Predicting Retirement Savings Using Survey Measures of Exponential-Growth Bias and Present Bias
Anti-discrimination measures in education: A comparative policy analysis
Rotation Group Bias in Measures of Multiple Job Holding
Digital discrimination : Political bias in Internet service provision across ethnic groups
Accounting For Individual-Specific Reliability of Self-Assessed Measures of Economic Preferences and Personality Traits
Bias in the Legal Profession: Self-Assessed versus Statistical Measures of Discrimination
Bias and Discrimination: What Do We Know?
Challenging Bias and Discrimination in Automated Border Decisions
Overweighting private information: Three measures, one bias?
AO handbook musculoskeletal outcome measures and instruments : 155 instruments evaluated and assessed
Self-assessed versus statistical evidence of labour market discrimination: The case of indigenous Australians
Correcting intraday periodicity bias in realized volatility measures
Predicting Retirement Savings Using Survey Measures of Exponential-Growth Bias and Present Bias
Anti-discrimination measures in education: A comparative policy analysis
Rotation Group Bias in Measures of Multiple Job Holding
Digital discrimination : Political bias in Internet service provision across ethnic groups