Women’s employment, income and divorce in West Germany: a causal approach

Brüggmann, Daniel

doi:10.1186/s12651-020-00270-0

Journal for Labour Market Research

Table 5 Various logit estimations on the treatment indicator and employment (regular) status on all baseline covariates

From: Women’s employment, income and divorce in West Germany: a causal approach

Variable	Logit raw sample on treatment indicator	Logit matched sample on treatment indicator	Logit matched sample on regular employment at t₀	Logit matched sample on regular employment at t₃₆₅	Logit matched sample on regular employment at t₇₃₀	Logit matched sample on regular employment at t₁₀₉₅
Treatment indicator (divorce)	na	na	0.5733***	0.4268**	0.5186***	0.5546***
Age at t₀	− 0.0016	0.0068	− 0.0417	− 0.0142	0.0194	− 0.0367
Age difference to spouse at t₀	0.0042	0.0010	0.0347	0.0146	0.0283	0.0007
Marriage duration at t₀	0.0315	− 0.0114	0.038	− 0.0001	− 0.0263	0.0209
Child before wedding (one if yes)	0.3437	− 0.0650	0.0059	− 0.1006	− 0.065	− 0.2261
Number of child 0–2 at t₋₇₃₀	− 0.6292**	− 0.0745	− 0.3893	− 0.3698	− 0.2919	− 0.232
Number of child 3–5 at t₋₇₃₀	− 0.0813	− 0.0404	− 0.3759	− 0.7683***	− 0.4616**	− 0.3459*
Number of child 6–15 at t₋₇₃₀	− 0.0451	0.0225	0.0654	− 0.2236	− 0.1841	− 0.265*
Number of child 16 and older at t₋₇₃₀	− 0.2278	0.0371	0.0195	0.1552	0.0013	0.0577
Childbirth in t₋₇₂₉ to t₋₃₆₅ (one if yes)	− 2.6353***	− 0.0107	− 3.2759***	− 2.7016***	− 1.2672**	0.0189
Days schooling (higher) in t₋₂₁₈₉ to t₋₁₈₂₅	− 0.0005	0.0007	− 0.0005	− 0.0014	0.0002	0
Days schooling (higher) in t₋₁₈₂₄ to t₋₁₄₆₀	0.0023	− 0.0005	− 0.0041	− 0.0024	0.0006	− 0.0024
Days schooling (higher) in t₋₁₄₅₉ to t₋₁₀₉₅	− 0.0006	0.0003	0.0019	− 0.0006	− 0.0008	0.0042
Days schooling (higher) in t₋₁₀₉₄ to t₋₇₃₀	0.0019	0.0004	0.001	0.0018	− 0.0005	− 0.0016
Days vocational training in t₋₂₁₈₉ to t₋₁₈₂₅	0.0012	− 0.0008	− 0.0025	− 0.0031	− 0.0036	− 0.002
Days vocational training in t₋₁₈₂₄ to t₋₁₄₆₀	0.0013	0.0021	0.0033	− 0.0017	0.004	0.0038
Days vocational training in t₋₁₄₅₉ to t₋₁₀₉₅	− 0.0061	− 0.0024	− 0.003	0.0022	− 0.0056	− 0.005
Days vocational training in t₋₁₀₉₄ to t₋₇₃₀	0.0067*	− 0.0004	0.0096**	0.0069	0.0111***	0.009**
Days care in t₋₂₁₈₉ to t₋₁₈₂₅	− 0.0012	0.0001	0.0063	0.0042	0.0002	− 0.0027
Days care in t₋₁₈₂₄ to t₋₁₄₆₀	0.0025	− 0.0003	− 0.0091	− 0.0031	0	0.005
Days care in t₋₁₄₅₉ to t₋₁₀₉₅	− 0.0028	0.0011	0.0037	0.0003	0.0024	− 0.0008
Days care in t₋₁₀₉₄ to t₋₇₃₀	0.0022	− 0.0006	− 0.0021	0.0015	− 0.0018	− 0.0012
Days parental leave in t₋₂₁₈₉ to t₋₁₈₂₅	− 0.0012	− 0.0002	0.0037**	0.0035*	0.0022	0.0014
Days parental leave in t₋₁₈₂₄ to t₋₁₄₆₀	0.0013	− 0.0002	− 0.0034	− 0.0013	− 0.0001	0.0004
Days parental leave in t₋₁₄₅₉ to t₋₁₀₉₅	− 0.0001	0.0003	− 0.0015	− 0.0021	− 0.0023	0.0002
Days parental leave in t₋₁₀₉₄ to t₋₇₃₀	− 0.0013	0.0000	0.0023	0.0025*	0.0025*	0.0003
Days disabled in t₋₂₁₈₉ to t₋₁₈₂₅	0.0019	0.0020	− 0.0048	− 0.0126	− 0.012	− 0.0077
Days disabled in t₋₁₈₂₄ to t₋₁₄₆₀	− 0.0006	0.0000	− 0.021**	− 0.0104	− 0.0054	− 0.0075
Days disabled in t₋₁₄₅₉ to t₋₁₀₉₅	0.0041	− 0.0049	0.0063	0.0029	0.0067	− 0.001
Days disabled in t₋₁₀₉₄ to t₋₇₃₀	0.0082*	0.0056	− 0.0045	− 0.0075	− 0.0026	− 0.0016
Days unemployed in t₋₂₁₈₉ to t₋₁₈₂₅	0.0011	− 0.0002	− 0.0009	− 0.002	− 0.0028*	− 0.0015
Days unemployed in t₋₁₈₂₄ to t₋₁₄₆₀	− 0.0010	0.0002	0.0013	0.0023	− 0.0011	− 0.0007
Days unemployed in t₋₁₄₅₉ to t₋₁₀₉₅	0.0014	0.0002	− 0.0033*	− 0.0027	0.0014	0.001
Days unemployed in t₋₁₀₉₄ to t₋₇₃₀	− 0.0014	− 0.0001	0.0015	0.0017	0.0006	0.0009
Days marginal employed in t₋₁₄₅₉ to t₋₁₀₉₅	0.0045	0.0000	0.0018	0.0007	0.0021	− 0.0023
Days marginal employed in t₋₁₀₉₄ to t₋₇₃₀	0.0014	0.0001	0.0054**	0.0037*	0.0034*	0.0057***
Days regular employed in t₋₂₁₈₉ to t₋₁₈₂₅	− 0.0001	− 0.0001	0.0006	0.0004	− 0.0002	− 0.0011
Days regular employed in t₋₁₈₂₄ to t₋₁₄₆₀	0.0010	− 0.0002	0.0013	0.0029	0.0014	0.0003
Days regular employed in t₋₁₄₅₉ to t₋₁₀₉₅	− 0.0003	0.0000	0.0019	− 0.002	0.0002	0.0029
Days regular employed in t₋₁₀₉₄ to t₋₇₃₀	0.0013	0.0003	0.0055**	0.0038*	0.0042*	0.0011
Daily marginal income in t₋₁₄₅₉ to t₋₁₀₉₅	0.0238	0.0047	0.0208	0.0102	0.0375	0.0038
Daily marginal income in t₋₁₀₉₄ to t₋₇₃₀	0.0390	− 0.0010	0.0208	0.0032	0.0357	0.016
Daily regular income in t₋₂₁₈₉ to t₋₁₈₂₅	− 0.0042	0.0018	0.0039	0.0156*	0.0094	− 0.0044
Daily regular income in t₋₁₈₂₄ to t₋₁₄₆₀	0.0037	− 0.0002	0.0055	0.008	0.0045	0.0084
Daily regular income in t₋₁₄₅₉ to t₋₁₀₉₅	0.0032	0.0003	0.0141	0.0067	0.0039	− 0.0002
Daily regular income in t₋₁₀₉₄ to t₋₇₃₀	0.0073	0.0026	0.0172**	0.0158*	0.0079	0.0156*
Yearly marginal income in t₋₁₄₅₉ to t₋₁₀₉₅	− 0.0006	− 0.0001	− 0.0001	0	− 0.0004	0.0002
Yearly marginal income in t₋₁₀₉₄ to t₋₇₃₀	− 0.0002	0.0000	− 0.0007**	− 0.0004	− 0.0005	− 0.0007**
Yearly regular income in t₋₂₁₈₉ to t₋₁₈₂₅	0.0000	0.0000	0	0	0	0
Yearly regular income in t₋₁₈₂₄ to t₋₁₄₆₀	0.0000	0.0000	− 0.0001	− 0.0001	0	0
Yearly regular income in t₋₁₄₅₉ to t₋₁₀₉₅	0.0000	0.0000	− 0.0001*	0	0	− 0.0001*
Yearly regular income in t₋₁₀₉₄ to t₋₇₃₀	0.0000	0.0000	0	0	0	0.0001
Lifetime days schooling (higher)	− 0.0001	0.0000	0.0002	0.0003*	0.0001	0.0001
Lifetime days vocational training	0.0000	0.0000	0.0003	0.0003	0.0005**	0.0003
Lifetime days tenure	0.0000	0.0000	0	0.0001	0.0002*	0.0002*
Lifetime days tenure yearly	0.0004	− 0.0003	0.003	0.0022	− 0.0006	− 0.0014
_cons	− 1.3570	− 0.1059	− 1.5716	− 1.7672*	− 2.4289**	− 0.3857
N	1850	1846	1846	1846	1846	1846
Pseudo R²	0.0792	0.0033	0.3482	0.2904	0.2351	0.1928

Training is occupational training. School is attending higher school. Following Sianesi (2004) the Pseudo R² in column 2 signals that the distribution of covariates is very well balanced within the matched sample because the value is very low. Thus, this is another sign that matching was successful (for comparison see value in column 1 for the raw sample). Lifetime school, Lifetime training and Lifetime tenure are cumulated days since age 15 to t₋₇₃₀. Lifetime tenure yearly is calculated by: Lifetime tenure/[age-16-(Lifetime school/365) − (Lifetime training/365)]
*p < 0.05; **p < 0.01; ***p < 0.001

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