Abstract

Empirical studies indicate that the transition to parenthood is influenced by an individual’speer group. To study the mechanisms that create interdependencies across individuals’transition to parenthood and its timing we apply an agent–based simulation model. Webuild a one–sex model and provide agents with four different characteristics. Based onthese characteristics, agents endogenously form their network. Network members then mayinfluence the agents’ transition to higher parity levels. Our numerical simulations indicatethat accounting for social interactions can explain the shift of first–birth probabilities inAustria over the period 1984 to 2004. Moreover, we apply our model to forecast age–specific fertility rates up to 2021.

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