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Table 2 Three-fold decomposition of underemployment gender gap

From: Measuring the effect of gender segregation on the gender gap in time-related underemployment

Variable Endowments Coefficients Interaction Total
Contribution SE %Gap Contribution SE %Gap Contribution SE %Gap %Gap
Educational attainment 0.0073** 0.00314 − 18.9 0.0053** 0.00218 − 13.8 − 0.0061*** 0.00364 15.7 − 17.0
Student 0.0003* 0.00018 − 0.9 0.0001 0.00007 − 0.2 − 0.0003 0.00024 0.9 − 0.2
Time to complete studies − 0.0001*** 0.00004 0.3 − 0.0003** 0.00012 0.7 0.0001 0.00006 − 0.2 0.8
Age − 0.0021*** 0.00004 5.4 − 0.0001* 0.00005 0.2 − 0.0052* 0.00029 13.4 19.0
Live with parents 0.0016*** 0.00054 − 4.2 0.0019** 0.00078 − 4.8 − 0.0018* 0.00072 4.8 − 4.2
Live in couple 0.0006 0.00063 − 1.7 − 0.0006* 0.00033 1.5 0.0019* 0.00087 − 4.8 − 5.0
Children under 16 − 0.0003 0.00047 0.7 0.0006 0.00049 − 1.6 − 0.0011 0.00072 2.8 1.9
Non− Spanish − 0.0009*** 0.00012 2.4 0.0009 0.00057 − 2.3 − 0.0001 0.00015 0.2 0.3
Gender segregation − 0.0453*** 0.00355 117.0 − 0.0146*** 0.0032 37.8 0.0217*** 0.00473 − 56.2 98.6
Professional status − 0.0028*** 0.00038 7.3 − 0.0041*** 0.00091 10.7 0.0005** 0.00058 − 1.2 16.8
Recent job − 0.0008*** 0.00022 2.1 − 0.0003 0.0008 0.7 0.0000 0.00026 0.1 2.9
Firm size − 0.0030*** 0.00032 7.7 − 0.0016*** 0.00056 4.2 0.0011* 0.00042 − 2.8 9.1
Unemployment rate − 0.0059*** 0.00077 15.1 0.0057 0.01078 − 14.7 − 0.0002** 0.0011 0.6 1.0
NUTS Region 0.0000 0.00001 0.0 0.0000 0.00003 0.1 0.0000 0.00002 − 0.1 0.0
After 2012 reform − 0.0009*** 0.0001 2.2 − 0.0013*** 0.00047 3.2 0.0005*** 0.00012 − 1.2 4.2
Year − 0.0003** 0.00012 0.8 0.0005** 0.00022 − 1.2 − 0.0002 0.00016 0.5 0.1
Intercept 1     0.0016 0.00894 − 4.1     − 4.1
Intercept 2     − 0.0025** 0.00102 6.4     6.4
\({\theta }_{\rho }^{M}\)     0.0114*** 0.00936 − 29.3     − 29.3
Approximation error 0.0017 0.00441 − 4.4 − 0.0033 0.0046 8.5 0.00199 0.0054 − 5.1 − 1.0
Aggregate − 0.0506*** 0.0037 130.8 − 0.0007 0.00454 1.9 0.0126* 0.0051 − 32.7 100.0
  1. Standard errors (SE) have been computed using Krinsky and Robb’s method (1,000 draws). %Gap: Change as a percentage of the total underemployment gender gap