Inequality across gender/race Flashcards

1
Q

What are the possible channels through which inequality of race/gender comes about?

A

1) Early childhood influences
2) Neighbourhoods when growing up
3) Access to/quality of schooling
4) Chance of being hired when applying for a job
5) Wages
6) Chance of promotion/being fired
7) treatment by clients
8) Treatment by police

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What early evidence of discrimination was there?

A

1) Negative coefficient on female dummy variable for wages

2) Blinder-Oaxaca Decomposition: discriminatory component found to be significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Why weren’t early studies found to be conclusive?

A

1) Minority could be found to have less productive characteristics.
2) Endogenous Beta - higher returns to male characteristics
3) Endogenous X - expectations of future discrimination reduce X’s

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What are Audit Studies (Field Experiments)?

A

Send testors (auditors) with identical resumes to job interviews and evaluate whether the minority members are worse off

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is Bertrand and Mullainathan’s (2004) Research design?

A

1) They send fictitious resumes with randomly assigned African-american or White ‘sounding’ names to job ads in Boston and Chicago
2) There was 1 high quality resume and 1 low quality resume, measured by experience, languages, employment history
3) Sent 4 resumes to jobs such as sales, administrative, clerical and customer service roles

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What were the advantages of Bertrand and Mullainathan (2004)?

A

Addresses the limitations of Audit studies - they have a large sample size of 1300 and there is no face-to-dace interaction

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What were Bertrand and Mullainathan’s (2004) findings?

A

1) White names received 50% more call-backs
2) High quality resumes gave higher returns to white names
3) No evidence postal address improved black names
4) Race gap relatively uniform across industries/occupations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What were the limitations of Bertrand and Mullainathan’s (2004) work?

A

1) Interested in offers NOT call backs
2) Race inferred not directly reported
3) Names are very distinct - don’t represent average population
4) Only 2 metropolitan areas
5) Limited occupations
6) No information on other candidates or the composition of current employees

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What was the research design of Goldin and Rouse (2000)?

A

1) Using audition records from 8 major symphony orchestras between 1950-1995
2) Using difference-in-difference, test the interaction between whether the person auditioning was woman and whether they used a screen
3) Was the increase in proportion of female members of orchestras due to the blind auditions?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What were Goldin and Rouse (2000)’s findings?

A

1) Blind auditions increased female advancement to next round
2) The transition to blind auditions explains 30% of the increase in proportion of women in new hires and 25% of the increase in proportion of women in orchestras overall

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Ware are the cautions of Goldin and Rouse (2000)?

A

1) Women who choose blind auditions may be of a different skill-level to those who choose not
2) Performance might be of a different standard due to the screens (confidence)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What are the theoretical models of discrimination?

A

1) Taste for Discrimination (Employer, employee, clients)
2) Statistical Discrimination
3) Overcrowding
4) Institutional

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Explain taste for discrimination

A

People act as those there is a non-pecuniary cost to associating with a particular group, nothing to do with productive attributes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Explain Statistical discrimination

A

Employer relies on group characteristics rather than the individual characteristics. Such as “all women will go on maternity leave” or ‘African-americans are from areas with bad schooling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Explain Over crowding

A

Minority groups crowd out the lower wage jobs in the expectation that they won’t get a job elsewhere

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Explain Institutional discrimination

A

Everyday operation of firms causes difference in productivity, promotion opportunities and pay

17
Q

Is there any evidence to support these models of discrimination?

A

Bertrand and Mullainathan found no evidence for employee or customer based discrimination (jobs with more/less customer/co-worker interaction had little to no difference). Jobs located in areas of higher BME proportions called back more - Evidence of employer discrimination. No Statistical evidence (Jamal had higher socio-economic status than leroy but made no difference).