Children affect the after-birth labor force participation of women in two ways. Directly, the
time spent in child-care reduces the labor market effort. The time spent out of the labor
market while on maternity leave alters women's participation experience and, thus, indirectly
affects subsequent participation behavior. This paper proposes a model that disentangles the
direct and indirect effect of children on women's labor force participation, and evaluates their
relative importance. Participation decisions on a three-state space - employed full-time,
employed part-time, not employed - are represented by a multivariate probit model with a
general correlation structure. The model allows for a high degree of flexibility in modeling the
dependence of sequential decisions. The estimation is performed using Markov chain Monte
Carlo methods. It is shown that the indirect effect, through time out of the labor market, is
more important. The discrepancy is sharper for full-time employment and grows with the
length of the interruption.
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