Are daughters’ childbearing intentions related to their mothers’ socio-economic status?

BACKGROUND Unlike actual fertility, fertility intentions are often found to be positively correlated with education. The literature explaining this paradox is scarce. OBJECTIVE We aim to fill the gap in the existing scientific literature by searching for the main factors that influence highly educat...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:	Demographic Research. - Max-Planck-Gesellschaft zur Foerderung der Wissenschaften, 1999. - 35(2016) vom: Dez., Seite 581-616
1. Verfasser:	Testa, Maria Rita (VerfasserIn)
Weitere Verfasser:	Bordone, Valeria, Osiewalska, Beata, Skirbekk, Vegard
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2016
Zugriff auf das übergeordnete Werk:	Demographic Research
Schlagworte:	Social sciences Behavioral sciences Biological sciences Education Economics


LEADER	01000caa a22002652 4500
001	JST120580012
003	DE-627
005	20240625045923.0
007	cr uuu---uuuuu
008	180720s2016 xx \|\|\|\|\|o 00\| \|\|eng c
035			\|a (DE-627)JST120580012
035			\|a (JST)26332089
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Testa, Maria Rita \|e verfasserin \|4 aut
245	1	0	\|a Are daughters’ childbearing intentions related to their mothers’ socio-economic status?
264		1	\|c 2016
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a BACKGROUND Unlike actual fertility, fertility intentions are often found to be positively correlated with education. The literature explaining this paradox is scarce. OBJECTIVE We aim to fill the gap in the existing scientific literature by searching for the main factors that influence highly educated women to plan a larger family size. METHODS Using the first wave of the Generations and Gender Survey for four countries (Austria, Bulgaria, Italy, and Norway), we analyse the relationship between mother’s socio-economic status and daughter’s fertility intentions, controlling for daughter’s socio-economic status and sibship size. Zero-inflated Poisson regression models are employed to estimate the predictors of women’s additionally intended number of children. RESULTS We find that the effect of family of origin is exerted mainly through sibship size among childless daughters: Daughters with more siblings intend to have more children. After the transition to parenthood, the effect of family of origin is exerted mainly through the mother’s level of education: Daughters with highly educated mothers intend to have more children. CONCLUSIONS The empirical results suggest that the positive link between births intentions and level of education might not merely be an artefact generated by the design of cross-sectional surveys but the outcome of a better socio-economic status that allows forming positive reproductive plans. CONTRIBUTION The positive role of mother’s socio-economic status on daughter’s fertility decision-making offers a valuable interpretation of the positive link between education and fertility intentions which goes beyond the alternative explanations referring to self-selection, partner effect, or time squeeze, and needs to be confirmed by further research.
540			\|a ©2016 Testa, Bordone, Osiewalska & Skirbekk
650		4	\|a Social sciences \|x Population studies \|x Human populations \|x Persons \|x Children
650		4	\|a Behavioral sciences \|x Sociology \|x Human societies \|x Social institutions \|x Families \|x Family members \|x Daughters
650		4	\|a Biological sciences \|x Biology \|x Developmental biology \|x Reproduction \|x Fertility
650		4	\|a Biological sciences \|x Biology \|x Developmental biology \|x Growth and development \|x Biological development \|x Plant development \|x Plant reproduction \|x Seeds \|x Seed anatomy \|x Testa
650		4	\|a Education \|x Formal education \|x Academic education \|x Academic achievement \|x Academic accomplishments \|x Educational attainment
650		4	\|a Economics \|x Economic disciplines \|x Socioeconomics
650		4	\|a Social sciences \|x Population studies \|x Human populations \|x Persons \|x Women \|x Mothers
650		4	\|a Biological sciences \|x Biology \|x Zoology \|x Animal anatomy \|x Animal physiology \|x Animal reproduction \|x Animal fertility \|x Female fertility
650		4	\|a Social sciences \|x Population studies \|x Demography
650		4	\|a Behavioral sciences \|x Sociology \|x Human societies \|x Social institutions \|x Families \|x Family structure \|x Family size \|x Research Article
655		4	\|a research-article
700	1		\|a Bordone, Valeria \|e verfasserin \|4 aut
700	1		\|a Osiewalska, Beata \|e verfasserin \|4 aut
700	1		\|a Skirbekk, Vegard \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Demographic Research \|d Max-Planck-Gesellschaft zur Foerderung der Wissenschaften, 1999 \|g 35(2016) vom: Dez., Seite 581-616 \|w (DE-627)320430677 \|w (DE-600)2003725-9 \|x 23637064 \|7 nnns
773	1	8	\|g volume:35 \|g year:2016 \|g month:12 \|g pages:581-616
856	4	0	\|u https://www.jstor.org/stable/26332089 \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_JST
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_374
912			\|a GBV_ILN_375
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2018
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_2949
912			\|a GBV_ILN_2950
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4346
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 35 \|j 2016 \|c 12 \|h 581-616