. Author manuscript; available in PMC: 2019 Jul 26.

Published in final edited form as: Int J Sociol. 2014 Dec 7;44(3):84–107. doi: 10.2753/IJS0020-7659440305

Table 4.

Discrete-Time Logistic Regression Model Predicting Labor Force Reentry for Women Not in the Labor Force

	Labor force reentry
Variable	Model 1	Model 2	Model 3	Model 4	Model 5
Duration in current status (years)	−0.25^***	−0.25^***	−0.23^***	−0.24^***	−0.23^***
Duration in current status (squared term)	0.01^***	0.01^***	0.01^***	0.01^***	0.01^***
Education
High school or less^a
Vocational school	−0.18	−0.19	−0.23^*	−0.27^*	−0.31^*
Junior College	−0.23^*	−0.24^*	−0.27^*	−0.27^*	−0.31^*
University or more	−0.39^*	−0.39^*	−0.41^*	−0.43^*	−0.44^*
Previous income (logged)		0.01			0.00
Work orientation
Reason for choosing final school^b			0.11		0.11
Reason for quitting the previous job^b			1.06^***		1.08^***
Job characteristics
Previous occupation
Clerical^a
Self-employed/family work				0.35	0.42
Professional/managerial				0.35^**	0.34^*
Manual labor				−0.02	−0.01
Sales/service				0.04	0.04
Previous firm size
Small (1–99)^a
Medium (100–499)				0.00	−0.01
Large (≥ 500)				−0.09	−0.10
Public sector				−0.25	−0.26
Missing				−0.37	−0.40
Constant	0.30	0.26	0.22	0.30	0.24
Number of person–years	5,483	5,483	5,483	5,483	5,483
Log likelihood	−2,164.99	−2,164.89	−2,156.65	−2,159.77	−2,151.38

Omitted category.

Dichotomous variables coded 1 = yes, 0 = no (reference category).

p < 0.05

^**

p < 0.01

^***

p <0.001.

Note: All models control for women’s demographic characteristics (age, parity, having interwave birth, presence of a preschooler), husbands’ characteristics (income, education, share in housework), and family characteristics (coresidence with parents[-in-law]). Supplementary tables provide results from the full model.