83,053 rated or chosen profiles from 8,330 respondents, in up to 5 tasks of 2 profiles varying on 10 attributes.

About this table

Description	Paired conjoint on fertility intentions: 8,330 adults aged 20-44 in Argentina, Germany, Italy and the US (May 2025) compared 5 pairs of hypothetical family scenarios varying the woman's age, children, home ownership, division of work, childcare, household income and four macro outlooks (climate, economy, politics, war); outcomes are a forced choice and a 1-10 rating of intention to have a child.
Reference	Aassve, A., et al. (2026). Parenthood decisions in uncertain times: Experimental evidence from four countries. Proceedings of the National Academy of Sciences.
DOI	10.1073/pnas.2601690123
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/WTKEE6

Notes

Conjoint table (irw_conjoint). Five paired scenario tasks; choice = forced choice of the scenario that would make the respondent more inclined to have a child (no opt-out; 399 tasks without a choice keep their ratings), rating = the respondent's intention to have a child within the next three years under each scenario, 1-10 (paraphrase; wording not deposited). Levels are the authors' short labels; income is the amount shown in local currency. Four countries pooled (cov_country); N = 8,330 (press release 8,334).

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	social identity interpersonal
A profile represents	scenario
Country	AR, DE, IT, US
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which of the two scenarios would make you more inclined to have a child? (paraphrase) [choice, forced]
rating	On a scale from 1 to 10, how strong would your intention be to have a child within the next three years under these circumstances? (paraphrase) [rating, 1 (unknown) to 10 (unknown)]

Columns

attr_childcareattr_childrenattr_climateattr_economyattr_homeattr_incomeattr_politicsattr_warattr_woman_ageattr_work_houseworkchoicecov_agecov_cohabitingcov_countrycov_fert_ideal_trad_lifecov_fertilitydesirecov_gendercov_hhincome_pppcov_marriedcov_pincome_pppcov_singlecov_tertiary_selfcov_withfplannidprofileratingtask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("aassve_2026_parenthood", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("aassve_2026_parenthood", source="conj")

How to cite

@article{Aassve_2026, title={Parenthood decisions in uncertain times: Experimental evidence from four countries}, volume={123}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.2601690123}, DOI={10.1073/pnas.2601690123}, number={31}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Aassve, Arnstein and Mencarini, Letizia and Peng, Chen and Plach, Samuel and Amarales, Alonso Román and Tanturri, Maria Letizia}, year={2026}, month=July }

Respondents	8,330
Rows (one per respondent, task and profile)	83,053
Tasks per respondent (most)	5
Profiles per task	2
Attributes	10
Tasks with no profile chosen	0

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0

aassve_2026_parenthood