A Bayesian semiparametric multilevel survival modelling of age at first birth in Nigeria

Gayawan, Ezra; Adebayo, Samson B.

doi:10.4054/demres.2013.28.45

Cited by 18 publications

(12 citation statements)

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“…Education has been identified as a vital determinant of fertility with several causal relationships from a theoretical point of view (Leone 2004). The pathway through which it affects fertility include delayed marriage and first birth (Gayawan and Adebayo 2013;2014), increase bargaining power with husband, low regard for high fertility sustaining norms and appropriate use of contraceptives (Adebayo et al 2013). These attributes can also hold true for women in the high wealth quantile.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, a large number of categorical and metrical covariates can be available for consideration as the determinants of fertility. The categorical covariates can be reasonably assumed to have linear effects on the response variable and thus, modelled parametrically, but nonlinear smooth functions need to be assumed for the metrical covariates in order to estimate them nonparametrically, more so studies have confirmed that these variables do not always have linear relationships with demographic indicators (Cameron and Trivedi 2013;Gayawan and Adebayo 2013).…”

Section: Introductionmentioning

confidence: 99%

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Structured additive distributional hurdle Poisson modelling of individual fertility levels in Nigeria

Somo-Aina

Gayawan

2019

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Fertility is one of the dynamic components of population and has been modelled through children ever born per woman, which is a count variable that can be characterized with excessive zeros origination from women without any births. In order to examine the spatial variation across states of Nigeria, we proposed the use of hurdle models that classifies the data into a truncated count and point mass of zeros. We adopt distributional regression model that allows all parameters of the hurdle model to be linked to covariates of different types so as to allow for accessing the spatial variations and nonlinear forms of metrical covariates on the level of fertility and in the likelihood of having no child. Data was sourced from the 2013 Nigeria Demographic and Health Survey. Findings reveal the existence of north-south divide in the average level of fertility and in the likelihood of a woman not giving birth to any child. Women with higher level of education and those from richer or richest households have higher likelihood of having no child, but this is not the case for women with primary or secondary education, users of traditional or modern contraceptive, ever-married women and those working. There is therefore the need to strengthen family planning policies so that investment in contraceptive would yield the expected results in Nigeria.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structured additive distributional hurdle Poisson modelling of individual fertility levels in Nigeria

Somo-Aina

Gayawan

2019

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“…In particular, female education is a critical predictor of the reproductive health behaviour of women. This is probably because educated women tend to acquire nontraditional reproductive behaviour such as delayed age at first marriage and age at first birth, and have a tendency to bear fewer children than their counterparts with no formal education (Bongaarts, 2010;Gayawan & Adebayo, 2013;Grant, 2015). This has given rise to the adoption of policies in developing countries aimed at massive promotion of female education, both as an end in itself and as a means of fighting high fertility.…”

Section: Introductionmentioning

confidence: 99%

Consistency of the Effects of Female Education on Fertility Across the North–south Demographic Divide in Nigeria, 2003–2013

Wusu

Isiugo-Abanihe

2018

J. Biosoc. Sci.

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SummaryMost studies examining the association between female education and fertility have reported an inverse association. However, little is known about the consistency of the relationship, or what level of education triggers an inverse association. This study examined the consistency of the association between female education and fertility across the north-south demographic divide in Nigeria. Data on women aged 40-49 were taken from the 2003, 2008 and 2013 Nigerian DHS data sets. The results showed that female education remained significantly and consistently inversely related to fertility in both the north and south of Nigeria. Women with secondary or higher level of education reported a lower number of children ever born (CEB) than those with primary or no education in both the north and south (p<0.05). The findings suggest that female education has a more effective negative effect on fertility in the south, where the level of female schooling is higher, than in the north, with its limited level of female education. Primary-level female education appeared to be ineffective in reducing fertility in the study sample. Women with primary schooling reported a slightly higher CEB than those who did not have any formal education. Also, age at marriage and child mortality were found to be consistent and significant predictors of fertility in both the north and south (p<0.001). Women who married at relatively higher ages and those who had never lost a child reported a smaller CEB consistently in both the north and south (p<0.001). Therefore, to attain sustainable fertility decline throughout Nigeria, it is imperative that policies aimed at increasing the prevalence and quality of female education are pursued, and there must be a focus on social, physical, environmental and cultural factors influencing age at marriage and child mortality.

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“…Expectedly, the median age for mothers with university education should be higher. Although there is no evidence for women postponing births until advanced maternal age in Nigeria, this study is imperative because, the number, of college educated women has increased over time which has considerable influence on age at first birth [26] [27].…”

Section: Current Studymentioning

confidence: 99%

Fertility Intentions and Awareness of Reproductive Aging among Final-Year Nigerian University Students

Oke¹

2019

JSS

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The aim was to investigate university students' intentions and towards future parenthood and their awareness regarding reproductive aging by a cross sectional survey of 167 male (40.6%) and 244 female (59.4%) students across two university campuses in southwest Nigeria. Data was collected by a self-administered questionnaire and was analyzed using SPSS v.20. Analyses showed that female students were inclined to begin and end childbearing earlier than males (p = 0.000). Only 18.3% of male and 21.5% of female students correctly identified that female fertility markedly decreases by age 35. Males were significantly more likely to overestimate female fecundity above age 35; p = 0.000. Almost half of females (46.5%) intended to have children after age 35 years but 42.9% overestimated the probability of conception above 35 years of age. Intention to continue childbearing into older ages based on incorrect perceptions of reproductive aging could lead to involuntary childlessness among a population that values childbearing. Appropriate education to improve fertility awareness and knowledge could help young adults properly plan and make informed reproductive decisions.age is associated with a decline in semen volume, sperm motility, and sperm morphology, and sexual functioning, particularly over the age of 50.

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A Bayesian semiparametric multilevel survival modelling of age at first birth in Nigeria

Cited by 18 publications

References 50 publications

Structured additive distributional hurdle Poisson modelling of individual fertility levels in Nigeria

Structured additive distributional hurdle Poisson modelling of individual fertility levels in Nigeria

Consistency of the Effects of Female Education on Fertility Across the North–south Demographic Divide in Nigeria, 2003–2013

Fertility Intentions and Awareness of Reproductive Aging among Final-Year Nigerian University Students

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