Robots, Jobs, and Optimal Fertility Timing
Claudio Costanzo
No 2022-36, Working Papers ECARES from ULB -- Universite Libre de Bruxelles
Abstract:
Labor automation is generally associated with a decrease in demand for mid-skill jobs,often routine-intensive, in favor of the others. This paper investigates its effects onfertility timing decisions using European panel data, by constructing a measure of localexposure to industrial robotics, and by adopting a Fixed Effect with Two-StageLeast Squares methodology. Higher exposure is associated with an anticipation offertility in low- and high-skilled regional labor markets, and with its postponementin medium-skilled ones. An optimal stopping model, in which individuals adjust thetiming based on their future labor opportunities, formalizes the causal intuition. Itsnumerical application, based on survey data, suggests that the effect of an increase inobserved automation on the willingness to postpone fertility is concave with respect toeducation, consistently with the Routine-Biased Technological Change hypothesis.
Keywords: Automation; Demography; Fertility; Robots (search for similar items in EconPapers)
JEL-codes: J13 J21 J24 O33 (search for similar items in EconPapers)
Pages: 48 p.
Date: 2022-11
New Economics Papers: this item is included in nep-gro, nep-lma, nep-tid and nep-ure
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