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If I [Take] Leave, Will You Stay? Paternity Leave and Relationship Stability

Published online by Cambridge University Press:  14 November 2019

RICHARD J. PETTS
Affiliation:
Department of Sociology, Ball State University, 222 North Quad, Muncie, IN 47306 email: rjpetts@bsu.edu
DANIEL L. CARLSON
Affiliation:
Department of Family and Consumer Studies, University of Utah, 225 S. 1400 E., Alfred Emery Building, Room 234, Salt Lake City, UT 84112 email: Daniel.Carlson@fcs.utah.edu
CHRIS KNOESTER
Affiliation:
Department of Sociology, The Ohio State University, 152 Townshend Hall, 1885 Neil Avenue Mall, Columbus, OH 43210 email: knoester.1@osu.edu
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Abstract

Recent European studies suggest that fathers’ leave-taking may contribute to parental relationship stability. Paternity leave-taking may signal a commitment by fathers toward a greater investment in family life, which may reduce the burden on mothers and strengthen parental relationships. This study uses longitudinal data from the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B) to analyze the association between paternity leave-taking and relationship stability in the United States. Results indicate that paternity leave-taking, and taking relatively short leaves (i.e. two weeks or less) in particular, is associated with greater relationship stability. These findings increase our understanding of the potential benefits of paternity leave, and can inform policy decisions that aim to increase family stability.

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Article
Copyright
© Cambridge University Press 2019
Figure 0

Table 1. Summary statistics (W1)

Figure 1

FIGURE 1. Cumulative Dissolution Rate of Unions by Paternity Leave-Taking

Results taken from life-table estimates. Two-tailed t-tests indicate a significant difference in the risk of dissolution by leave-taking (p < .001).
Figure 2

FIGURE 2. Cumulative Dissolution Rate of Unions by Length of Paternity Leave

Results taken from life-table estimates. Two-tailed t-tests indicate that the risk of dissolution is higher among couples in which the father did not take leave (p < .001).
Figure 3

Table 2. Results from discrete-time logistic event history models predicting relationship dissolution

Figure 4

Table A1. Results comparing estimates from models using various techniques to account for selection