Table 1 Descriptive statistics of the...

Table 1

Descriptive statistics of the sample

Variables	All sample			Males			Females
Wage (In-work income)	6,346	22970.69	13103	3,648	24341.78	15109.96	2,698	21116.32	9443.56
Worked hours	6,346	38.284	6.225	3,648	39.822	5.204	2,698	36.203	6.857
D_Female	6,346	0.425	0.494
Work experience	6,346	20.390	10.534	3,648	21.134	10.628	2,698	19.384	10.321
D_edu_primary	6,346	0.013	0.113	3,648	0.016	0.126	2,698	0.009	0.092
D_edu_lowsec	6,346	0.203	0.403	3,648	0.255	0.436	2,698	0.134	0.341
D_edu_upsec	6,346	0.464	0.499	3,648	0.478	0.500	2,698	0.445	0.497
D_edu_training	6,346	0.021	0.144	3,648	0.018	0.132	2,698	0.026	0.158
D_manager	6,346	0.018	0.133	3,648	0.023	0.151	2,698	0.011	0.105
D_professional	6,346	0.490	0.500	3,648	0.428	0.495	2,698	0.573	0.495
D_admin	6,346	0.168	0.374	3,648	0.145	0.352	2,698	0.198	0.399
D_service_worker	6,346	0.124	0.330	3,648	0.103	0.304	2,698	0.152	0.359
D_craft_workers	6,346	0.114	0.318	3,648	0.179	0.383	2,698	0.026	0.160
D_manufacturing	6,346	0.297	0.457	3,648	0.387	0.487	2,698	0.174	0.379
D_trade	6,346	0.109	0.312	3,648	0.106	0.308	2,698	0.113	0.316
D_construction	6,346	0.059	0.236	3,648	0.095	0.294	2,698	0.011	0.103
D_ever_married	6,346	0.622	0.485	3,648	0.621	0.485	2,698	0.622	0.485
D_rural_areas	6,346	0.209	0.406	3,648	0.215	0.411	2,698	0.200	0.400
D_access_internet	6,346	0.919	0.274	3,648	0.913	0.282	2,698	0.926	0.262
D_NorthEast	6,346	0.266	0.442	3,648	0.267	0.442	2,698	0.266	0.442
D_Centre	6,346	0.270	0.444	3,648	0.265	0.442	2,698	0.275	0.447
D_South	6,346	0.168	0.374	3,648	0.174	0.379	2,698	0.159	0.365
D_Islands	6,346	0.062	0.241	3,648	0.059	0.236	2,698	0.066	0.248

Variables	All sample			Males			Females
Wage (In-work income)	6,346	22970.69	13103	3,648	24341.78	15109.96	2,698	21116.32	9443.56
Worked hours	6,346	38.284	6.225	3,648	39.822	5.204	2,698	36.203	6.857
D_Female	6,346	0.425	0.494
Work experience	6,346	20.390	10.534	3,648	21.134	10.628	2,698	19.384	10.321
D_edu_primary	6,346	0.013	0.113	3,648	0.016	0.126	2,698	0.009	0.092
D_edu_lowsec	6,346	0.203	0.403	3,648	0.255	0.436	2,698	0.134	0.341
D_edu_upsec	6,346	0.464	0.499	3,648	0.478	0.500	2,698	0.445	0.497
D_edu_training	6,346	0.021	0.144	3,648	0.018	0.132	2,698	0.026	0.158
D_manager	6,346	0.018	0.133	3,648	0.023	0.151	2,698	0.011	0.105
D_professional	6,346	0.490	0.500	3,648	0.428	0.495	2,698	0.573	0.495
D_admin	6,346	0.168	0.374	3,648	0.145	0.352	2,698	0.198	0.399
D_service_worker	6,346	0.124	0.330	3,648	0.103	0.304	2,698	0.152	0.359
D_craft_workers	6,346	0.114	0.318	3,648	0.179	0.383	2,698	0.026	0.160
D_manufacturing	6,346	0.297	0.457	3,648	0.387	0.487	2,698	0.174	0.379
D_trade	6,346	0.109	0.312	3,648	0.106	0.308	2,698	0.113	0.316
D_construction	6,346	0.059	0.236	3,648	0.095	0.294	2,698	0.011	0.103
D_ever_married	6,346	0.622	0.485	3,648	0.621	0.485	2,698	0.622	0.485
D_rural_areas	6,346	0.209	0.406	3,648	0.215	0.411	2,698	0.200	0.400
D_access_internet	6,346	0.919	0.274	3,648	0.913	0.282	2,698	0.926	0.262
D_NorthEast	6,346	0.266	0.442	3,648	0.267	0.442	2,698	0.266	0.442
D_Centre	6,346	0.270	0.444	3,648	0.265	0.442	2,698	0.275	0.447
D_South	6,346	0.168	0.374	3,648	0.174	0.379	2,698	0.159	0.365
D_Islands	6,346	0.062	0.241	3,648	0.059	0.236	2,698	0.066	0.248

Source(s): Authors' own elaborations on data from EU-SILC for Italy

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