Perceived Economic Uncertainty and Fertility Intentions in Couples: A Dyadic Extension of the Theory of Planned Behaviour.

APIM Attitudes Dyadic perspective Fertility Intentions Theory of planned behavior

Journal

Journal of family and economic issues
ISSN: 1058-0476
Titre abrégé: J Fam Econ Issues
Pays: United States
ID NLM: 9209844

Informations de publication

Date de publication:
01 Nov 2022
Historique:
accepted: 06 10 2022
entrez: 7 11 2022
pubmed: 8 11 2022
medline: 8 11 2022
Statut: aheadofprint

Résumé

By adopting a dyadic extension of the Theory of Planned Behavior (Ajzen, 1991), this study examined whether perceived economic uncertainty affects fertility intentions. Three-hundred thirty one heterosexual couples living in Italy participated in a randomized between-group experimental study, in which we manipulated perceived economic uncertainty (low vs. high vs. control). The participants subsequently completed a questionnaire measuring their attitudes, subjective norms, perceived behavioral control, and fertility intentions. We employed Structural Equation Modelling in estimating the Actor-Partner Interdependence Model. The model showed a good fit to the data. Women's attitudes, subjective norms, and perceived behavioral control were influenced by the high economic uncertain scenario, whereas among men these variables were affected only by the positive economic scenario. Attitudes and perceived behavioral control were significant predictors of fertility intentions for both sexes. Significant partner effects were observed as well. These findings suggest that fertility plans should be examined by adopting a dyadic perspective, as individuals' intentions are affected not only by their own beliefs, but also by those of their partners.

Identifiants

pubmed: 36338276
doi: 10.1007/s10834-022-09872-x
pii: 9872
pmc: PMC9628329
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-17

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare no conflict of interest.

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Auteurs

Camilla Matera (C)

Department of Education, Languages, Intercultures, Literatures and Psychology (FORLILPSI), University of Florence, Via Di San Salvi, 12-Pad. 26, 50135 Florence, Italy.

Lars Dommermuth (L)

Research Department, Statistics Norway, Pb 2633 St. Hanshaugen, 0121 Oslo, Norway.

Silvia Bacci (S)

Department of Statistics, Computer Science, Applications "G. Parenti" (DISIA), University of Florence, Viale Morgagni 39, 50134 Florence, Italy.

Bruno Bertaccini (B)

Department of Statistics, Computer Science, Applications "G. Parenti" (DISIA), University of Florence, Viale Morgagni 39, 50134 Florence, Italy.

Alessandra Minello (A)

Department of Statistics, Computer Science, Applications "G. Parenti" (DISIA), University of Florence, Viale Morgagni 39, 50134 Florence, Italy.

Daniele Vignoli (D)

Department of Statistics, Computer Science, Applications "G. Parenti" (DISIA), University of Florence, Viale Morgagni 39, 50134 Florence, Italy.

Classifications MeSH