Does Marriage Reduce Male Earnings Inequality?
Distribution
Outcome
Conditional
Statistics
10
th
-90
th
Percentiles
+ Means & Crosshairs
− Significance Tests
Covariates
0 = Age, Education, Skill, Wave, Area
00 = 0 + Person
1 = 00 + Cohabitation, Separation, Remarriage
3 = 1 + Time At Work
4 = 1 + Children
1x = 1 without age interactions
Person-Years
A ∧ B ∧ C ∧ D
A ∧ B ∧ C ∧ D ∧ E
A = Black & White Men
B = Who Eventually Marry
C = Who the BLS Does Not Drop
D = While Not In School
E = Through 1996
Marriage
Years
−YearBefore
−Cohab
+Kids
Dichotomous
Response
Earnings
Wages
Difference Between Married Men & Non-Married Men
Quantiles
Mean
.1
.2
.3
.4
.5
.6
.7
.8
.9
This model estimates wages as a function of marriage, age, educational attainment, skill, wave, area, age × educational attainment, and age × skill. Their significance tests correspond to 1000 clustered design matrix bootstraps.
Married
White
0.17
0.16
0.16
0.15
0.14
0.12
0.10
0.10
0.10
0.14
Black
0.18
0.17
0.17
0.17
0.16
0.14
0.12
0.10
0.07
0.15