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

Journal for Labour Market Research

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

	Gap	Endowments			Coefficients			Interaction			Total
	Gap	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

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