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Table 3 Sensitivity analysis: Contribution of occupational and industry segregation to the underemployment gender gap

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

  Gap Endowments Coefficients Interaction Total
Contribution SE %Gap Contribution SE %Gap Contribution SE %Gap %Gap
Baseline model − 0.0387 − 0.0453 0.00355 117.0 − 0.0146 0.0032 37.8 0.0217 0.00473 − 56.2 98.6
Model I − 0.0387 − 0.0439 0.00422 113.4 − 0.0147 0.00368 38.1 0.0215 0.00539 − 55.5 96.0
Model II − 0.0387 − 0.0386 0.00313 99.9 − 0.0118 0.0029 30.5 0.0184 0.00426 − 47.5 82.9
Model III − 0.0387 − 0.0295 0.00239 76.1 − 0.0102 0.00222 26.4 0.0166 0.00313 − 43.0 59.5
Model IV − 0.0369 − 0.0361 0.00322 98.1 − 0.0007 0.00368 1.9 0.0083 0.00530 − 22.5 77.5
Model V − 0.0536 − 0.0524 0.00608 97.9 − 0.0254 0.01318 47.4 0.0351 0.00750 − 65.5 79.8
Model VI − 0.0387 − 0.0451 0.00355 116.6 − 0.0143 0.00419 37.0 0.0215 0.00473 − 55.5 98.1
Model VII − 0.0742 − 0.0615 0.00237 82.8 − 0.0124 0.00359 16.7 0.0301 0.00332 − 40.5 59.0
Model VIII − 0.0387 − 0.0429 0.00371 111.0 − 0.0163 0.00368 42.1 0.0170 0.05017 − 44.0 109.1
Model IX − 0.0384 − 0.0466 0.00364 121.2 − 0.0154 0.00329 40.0 0.0232 0.00482 − 60.4 100.8
Model X − 0.0387 − 0.0453 0.00355 117.0 − 0.0179 0.00417 46.2 0.0217 0.00473 − 56.2 107.0
  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. All the values for the contribution of segregation are significant at 99% except the coefficient and interaction components in Model IV, which are not significant