David S. Pedulla Stanford University dpedulla@stanford.edu State - - PowerPoint PPT Presentation

david s pedulla
SMART_READER_LITE
LIVE PREVIEW

David S. Pedulla Stanford University dpedulla@stanford.edu State - - PowerPoint PPT Presentation

David S. Pedulla Stanford University dpedulla@stanford.edu State of the Union, 2018 Stanford Center on Poverty & Inequality Gender discrimination occurs across institutional domains, from education, to health care, to consumer markets,


slide-1
SLIDE 1
slide-2
SLIDE 2

David S. Pedulla Stanford University dpedulla@stanford.edu

State of the Union, 2018 Stanford Center on Poverty & Inequality

slide-3
SLIDE 3

▪ Gender discrimination occurs across institutional domains, from education,

to health care, to consumer markets, and beyond.

▪ Focus today on gender discrimination in employment. ▪ Specifically, I will discuss gender discrimination in hiring.

slide-4
SLIDE 4

▪ Gender Discrimination:

▪ Differential treatment of a person (or group) due to their gender.

▪ Focus on behaviors, rather than attitudes, beliefs, or ideologies. ▪ Gender Discrimination Example:

▪ A woman has equal (or superior) skills, educational credentials, and ability

compared to a man.

▪ They both apply for the same job. ▪ The man gets hired.

slide-5
SLIDE 5
  • 1. Discrimination is difficult to observe.
  • 2. Discrimination is difficult to detect.
slide-6
SLIDE 6

▪ Send matched pairs of nearly identical fictitious job applications to apply

for real job openings.

▪ Randomly assign resumes a gender, often using gendered names (e.g.,

Michelle vs. Michael).

▪ Track employers’ responses to each application (e.g., “callbacks”). ▪ Because everything is held constant, other than the gendered name, any

difference in “callback” rates can be attributed to gender discrimination.

▪ Solves the dual challenges of observation and detection.

slide-7
SLIDE 7
slide-8
SLIDE 8

2.8% 6.6% 5.0% 3.1% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% 8.0%

Men Women Callback Rate Non-Parent Parent

Correll, Shelley J., Stephen Benard, and In Paik. 2007. “Getting a Job: Is There a Motherhood Penalty?” American Journal of Sociology 112(5):1297-1339.

slide-9
SLIDE 9

2.8% 6.6% 5.0% 3.1% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% 8.0%

Men Women Callback Rate Non-Parent Parent

Correll, Shelley J., Stephen Benard, and In Paik. 2007. “Getting a Job: Is There a Motherhood Penalty?” American Journal of Sociology 112(5):1297-1339.

slide-10
SLIDE 10

2.8% 6.6% 5.0% 3.1% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% 8.0%

Men Women Callback Rate Non-Parent Parent

Correll, Shelley J., Stephen Benard, and In Paik. 2007. “Getting a Job: Is There a Motherhood Penalty?” American Journal of Sociology 112(5):1297-1339.

slide-11
SLIDE 11

16.3% 3.8% 1.3% 6.3% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0%

Men Women Callback Rate Higher-Class Lower-Class

Rivera, Lauren A., and András Tilcsik. 2016. “Class Advantage, Commitment Penalty: The Gendered Effect of Social Class Signals in an Elite Labor Market.” American Sociological Review 81(6):1097-1131.

slide-12
SLIDE 12

16.3% 3.8% 1.3% 6.3% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0%

Men Women Callback Rate Higher-Class Lower-Class

Rivera, Lauren A., and András Tilcsik. 2016. “Class Advantage, Commitment Penalty: The Gendered Effect of Social Class Signals in an Elite Labor Market.” American Sociological Review 81(6):1097-1131.

slide-13
SLIDE 13

16.3% 3.8% 1.3% 6.3% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0%

Men Women Callback Rate Higher-Class Lower-Class

Rivera, Lauren A., and András Tilcsik. 2016. “Class Advantage, Commitment Penalty: The Gendered Effect of Social Class Signals in an Elite Labor Market.” American Sociological Review 81(6):1097-1131.

slide-14
SLIDE 14

10.4% 10.4% 4.8% 10.9% 4.2% 7.5% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%

Men Women Callback Rate Full-Time Work Part-Time Work Unemployment

Pedulla, David S. 2016. “Penalized or Protected? Gender and the Consequences of Nonstandard and Mismatched Employment Histories.” American Sociological Review 81(2):262-289.

slide-15
SLIDE 15

10.4% 10.4% 4.8% 10.9% 4.2% 7.5% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%

Men Women Callback Rate Full-Time Work Part-Time Work Unemployment

Pedulla, David S. 2016. “Penalized or Protected? Gender and the Consequences of Nonstandard and Mismatched Employment Histories.” American Sociological Review 81(2):262-289.

slide-16
SLIDE 16

10.4% 10.4% 4.8% 10.9% 4.2% 7.5% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%

Men Women Callback Rate Full-Time Work Part-Time Work Unemployment

Pedulla, David S. 2016. “Penalized or Protected? Gender and the Consequences of Nonstandard and Mismatched Employment Histories.” American Sociological Review 81(2):262-289.

slide-17
SLIDE 17

▪Contextual Forces & Gender Discrimination:

▪ Status of job (e.g., professional vs. working class). ▪ Gender composition of job. ▪ Gender-typing of job.

▪Field Experiment Findings (Yavorksy 2017):

▪ Women experience discrimination when applying for male-dominated

working class jobs.

▪ Men experience discrimination when applying for female-dominated

jobs, across the status of the position.

Yavorsky, Jill. 2017. Inequality in Hiring: Gendered and Classed Discrimination in the Labor Market. Doctoral Dissertation. Columbus, Ohio: The Ohio State University.

slide-18
SLIDE 18

▪ The effects of gender on hiring discrimination are complex and

heterogeneous:

▪ Parental status ▪ Class background ▪ Employment history ▪ Contextual forces

▪ Commitment concerns are a key mechanism linking gender and

hiring outcomes.

▪ Violations of gender norms also appear to be important in producing

gender discrimination.

slide-19
SLIDE 19

▪ Continued and additional attention to mechanisms:

▪ Commitment ▪ Competence ▪ Fit

▪ Continued and additional attention to variation:

▪ Policy and legal environments ▪ Organizational demography ▪ Organizational policies ▪ Organizational practices

▪ Developing and testing interventions to reduce gender

discrimination.

slide-20
SLIDE 20

David S. Pedulla Stanford University dpedulla@stanford.edu