Test 2 Flashcards

(45 cards)

1
Q

Disparate outcomes

A

Groups end up with different average results like pay or promotions.

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

Disparate treatment

A

People are treated differently because of a protected trait like sex or race.

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

Four‑factor framework

A

Treatment by decision makers
Skills and experience
Choices under limits
Rules or market forces

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

Compensating differentials

A

Extra pay for jobs with unpleasant or risky conditions.

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

Human capital

A

Skills and experience that make you more productive.

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

Continuous tenure

A

Unbroken time in a job that builds learning and promotion chances.

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

Overtime premium

A

Higher pay rate for hours beyond a set limit or for nights and weekends.

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

Temporal flexibility

A

Control over when and how long you work.

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

Extensive margin

A

Whether someone gets or takes a job at all.

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

Intensive margin

A

How much someone works or which shifts they take once in the job.

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

Wage schedule

A

A fixed pay grid by role and tenure used by a firm or union.

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

Pipeline

A

The path from school to career; early drop-offs shrink the later pool

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

Outcome fix

A

Policy that forces results to look equal fast.

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

Fundamental fix

A

Policy that tackles root causes so change lasts.

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

Gaming at later margins

A

Meeting targets on hires but shifting bias to assignments or evaluations.

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

Explained component

A

Part of a gap tied to measured factors like job type or hours.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Unexplained component

A

The leftover gap after controls that may reflect treatment or missing factors.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Statistical discrimination

A

Using group averages to judge people when info is missing.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Audit study

A

Field test that sends equal applications with one trait changed at random to see bias.

20
Q

Gender‑equality paradox

A

More equal societies can show bigger interest gaps because people can choose freely.

21
Q

Achievement

A

What you have already done like grades.

22
Q

Aptitude

A

Your potential to learn or perform.

23
Q

Upper‑tail quantitative ability

A

Very high math ability found in a small share of people.

24
Q

Spatial ability

A

Skill at mental rotation and visualizing shapes.

25
People‑orientation
Interest in social or helping work.
26
Thing‑orientation
Interest in objects, systems, or mechanics.
27
Systemizing or theoretical values
Preference for rules, logic, and abstract work.
28
Social or helping values
Preference for people‑focused and care work.
29
Percentage points
Absolute change in a rate, for example 20 to 25 is plus five points.
30
Percent change
Relative change, for example 20 to 22 is up ten percent.
31
Cohen’s d
Standardized gap between two averages, about 0.2 small, 0.5 medium, 0.8 large.
32
Odds ratio
How many times higher the odds are in one group versus another, for example 1.5 means 50 percent higher.
33
PIRLS 2001
International reading test that often shows girls ahead.
34
1990 Physicians study
Controlling for specialty, hours, and continuous experience narrows the gender pay gap among doctors.
35
Ly et al. 2017
Within one profession, better controls for hours and productivity greatly shrink the measured gender pay gap.
36
Bolotnyy and Emanuel 2018 to 2022 MBTA
Same employer and pay grid, women earned less due to fewer overtime hours, more time off, and different shifts, the gap fades after accounting for these.
37
Kleven et al. Child Penalty
After first birth, women’s earnings drop compared to men and stay lower for years, size varies by country and norms.
38
Blau and Kahn 2017
Review that splits the wage gap into explained parts and a residual, shows slower progress since the 2000s and bigger gaps at the top.
39
Booth and van Ours 2013 Netherlands
Many partnered women in the Netherlands choose part‑time and report high satisfaction, house work stays gendered.
40
Voyer and Voyer 2014
Meta analysis finds girls and women earn higher grades across subjects and countries.
41
SMPY Study of Mathematically Precocious Youth
Long study shows extreme early math talent predicts STEM PhDs and patents, interests and values push career choices.
42
Hsu and Schombert 2010
Intro physics and astronomy show performance fits ability thresholds, very low SAT math rarely pairs with top grades.
43
Templer and Tomeo 2002
Fields with higher GRE Quant are more male-skewed, fields that use more math tend to have more men, and fields that use less math tend to have more women
44
CAH
Congenital adrenal hyperplasia, medical condition researchers use to study how early hormones might nudge interests.
45
What CAH studies often find
Girls with CAH show a bit more thing focused play and interests on average.