2019
DOI: 10.1111/rssa.12520
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Modelling the Socio-Economic Determinants of Fertility: A Mediation Analysis using the Parametric g-formula

Abstract: Summary Theories predict that the timing of childbearing and number of children born are determined by multiple socio‐economic factors. Despite this, many methods cannot investigate the interrelationships between these determinants, including the direct and indirect influence that they have on fertility over the life course. Here we use the parametric g‐formula to examine the interdependent influences of time‐varying socio‐economic processes—education, employment status and partnership status—on fertility. To … Show more

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Cited by 17 publications
(10 citation statements)
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“…For 50 years there has been a continuous increase in the age at which men and women, living in developed countries, are having children [ 1 ]. Many are exercising a choice to delay parenthood, largely in order to complete higher levels of education but also to establish employment and family stability [ 1 , 2 ]. Educational attainment, job and financial security and father involvement all have positive health effects on the fetus and newborn [ 3 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…For 50 years there has been a continuous increase in the age at which men and women, living in developed countries, are having children [ 1 ]. Many are exercising a choice to delay parenthood, largely in order to complete higher levels of education but also to establish employment and family stability [ 1 , 2 ]. Educational attainment, job and financial security and father involvement all have positive health effects on the fetus and newborn [ 3 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…Similar to structural equations, G-computation is a new and fl exible approach to causal analysis that is especially useful for mediation analysis. The parametric g-formula, originally developed by biostatisticians (Robins/Hernán 2009), has recently been used in demographic studies on interdependent life course processes with time-varying confounding (Bijlsma/Wilson 2020). The method fi rst runs multivariable regression models to estimate interrelationships between variables, based on the assumptions of a specifi ed Directed Acyclic Graph (DAG).…”
Section: G-computationmentioning
confidence: 99%
“…Our solution to these two major issues is to use parametric modeling and Monte Carlo based estimation to first parameterize all the expectations, then simulate entire populations under the observed and counterfactual scenarios using the parametric model estimates, and lastly estimate the unconditional expectations by directly taking averages from the simulated data (Bijlsma and Wilson 2019;Robert and Casella 2013). This approach of parameterizing a high-dimensional direct standardization equation is generally referred to as the parametric g-formula and using Monte Carlo estimation and simulations is a frequently applied computational procedure for parametric g-formula estimation (Bijlsma and Wilson 2019;Hernan and Robins 2019;Imai, Keele, and Tingley 2010;Keil et al 2014;Wang and Arah 2015).…”
Section: Parametric Modeling and Monte Carlo-based Estimationmentioning
confidence: 99%