Can Family Policies Enhance Fertility? An Ex Ante Evaluation Through Factorial Survey Experiments

This article explores the family policies-fertility nexus by assessing the potential impact of parental leaves, childcare services, and child benefits on fertility through a factorial survey experiment (FSE). We focus on Italy, where persistently low fertility rates are often linked to limited welfare support for families. We surveyed 4,022 respondents aged 20-44 and exposed them to various scenarios characterized by different family policy packages. We asked them to ascribe short-term fertility behavior to a fictitious couple under each scenario. Results show that each family-friendly policy envisioned positively impacts ascribed fertility. The availability of full-time, public childcare services seems more relevant than higher child benefits, whereas more generous and gender-equal parental leaves are perceived as less relevant. However, results suggest that only a consistent mix of financial benefits, parental leave schemes, and childcare provisions can boost fertility. In contrast, marginal changes in single policy levers are most likely ineffective. The FSE reveals that a couple's socioeconomic status is perceived as more important than family policies for fertility: ascribed fertility increases when both partners are employed and household income is high. We conclude by discussing the policy implications of our findings.

Authors

Institutions

Publication Details

Journal
Demography
Published
2025-01-27
DOI
https://doi.org/10.1215/00703370-11775048
Citations
13
Primary Topic
Gender, Labor, and Family Dynamics
Type
article
Field-Weighted Citation Impact
50.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Can Family Policies Enhance Fertility? An Ex Ante Evaluation Through Factorial Survey Experiments

Giammarco Alderotti, Raffaele Guetto, Daniele Vignoli
13 citations
Demography
Gender, Labor, and Family Dynamics
50.27
article

Can Family Policies Enhance Fertility? An Ex Ante Evaluation Through Factorial Survey Experiments

Giammarco Alderotti, Raffaele Guetto, Daniele Vignoli
article en
13 citations

Abstract

This article explores the family policies-fertility nexus by assessing the potential impact of parental leaves, childcare services, and child benefits on fertility through a factorial survey experiment (FSE). We focus on Italy, where persistently low fertility rates are often linked to limited welfare support for families. We surveyed 4,022 respondents aged 20-44 and exposed them to various scenarios characterized by different family policy packages. We asked them to ascribe short-term fertility behavior to a fictitious couple under each scenario. Results show that each family-friendly policy envisioned positively impacts ascribed fertility. The availability of full-time, public childcare services seems more relevant than higher child benefits, whereas more generous and gender-equal parental leaves are perceived as less relevant. However, results suggest that only a consistent mix of financial benefits, parental leave schemes, and childcare provisions can boost fertility. In contrast, marginal changes in single policy levers are most likely ineffective. The FSE reveals that a couple's socioeconomic status is perceived as more important than family policies for fertility: ascribed fertility increases when both partners are employed and household income is high. We conclude by discussing the policy implications of our findings.

DemographyVol. 62(1)
University of Florence (IT)
No poverty
Openalex Percentile: Top 0%
Gender, Labor, and Family Dynamics
50.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Can Family Policies Enhance Fertility? An Ex Ante Evaluation Through Factorial Survey Experiments — Giammarco Alderotti, Raffaele Guetto, et al. · Demography (2025) | TGRS Research Map | TGRS