Table 2 Regression decompositions showing contributions of background, values, education, family formation, and work characteristics to the gender income gap
Bobbitt-Zeher | Replication 2A: pure replication | Replication 2B: replication on unrestricted sample | Replication 2C: replication on unrestricted sample without intervening work-related variables | |||||
|---|---|---|---|---|---|---|---|---|
N = 1946 | N = 1924 | N = 3290 | N = 3290 | |||||
Variable (endowments effects if not stated otherwise) | Diff. in income explained | % of total gap explained | Diff. in income explained | % of total gap explained | Diff. in income explained | % of total gap explained | Diff. in income explained | % of total gap explained |
Background | 78 | 1 | 187 | 3 | 152 | 3 | 186 | 3 |
Importance of having lots of money | 383 | 6 | 401 | 6 | 592 | 10 | 911 | 16 |
Education-related | ||||||||
Grades | 330 | 5 | −278 | −4 | −255 | −4 | 186 | 3 |
Percentage female of college major | 964 | 14 | 1008 | 15 | 883 | 15 | 911 | 16 |
Institutional selectivity | 39 | 1 | N/A | N/A | N/A | N/A | N/A | N/A |
Highest degree | −93 | −1 | −115 | −2 | 5 | 0 | 22 | 0 |
Family formation | ||||||||
Family formation (endowments effect) | 9 | 0 | 99 | 1 | −74 | −1 | −157 | −3 |
Family formation (coefficients effect) | – | – | (−158) | (−2) | 276 | 5 | 918 | 16 |
Work-related | ||||||||
Hours worked per week | 715 | 10 | 699 | 10 | 890 | 16 | – | – |
Occupation | 1431 | 21 | 1311 | 20 | 979 | 17 | – | – |
Industry | 495 | 7 | 373 | 6 | 342 | 6 | – | – |
Sector | 611 | 9 | 501 | 8 | 546 | 10 | – | – |
Other work factors | 140 | 2 | 130 | 2 | 102 | 2 | – | – |
Total income gap | 6938 | – | 6670 | – | 5707 | – | 5707 | – |