Childbearing impeded education more than education impeded childbearing among Norwegian women. 2011

Joel E Cohen, and Øystein Kravdal, and Nico Keilman
Laboratory of Populations, The Rockefeller University and Columbia University, New York, NY 10065-6399, USA. cohen@rockefeller.edu

In most societies, women at age 39 with higher levels of education have fewer children. To understand this association, we investigated the effects of childbearing on educational attainment and the effects of education on fertility in the 1964 birth cohort of Norwegian women. Using detailed annual data from ages 17 to 39, we estimated the probabilities of an additional birth, a change in educational level, and enrollment in the coming year, conditional on fertility history, educational level, and enrollment history at the beginning of each year. A simple model reproduced a declining gradient of children ever born with increasing educational level at age 39. When a counterfactual simulation assumed no effects of childbearing on educational progression or enrollment (without changing the estimated effects of education on childbearing), the simulated number of children ever born decreased very little with increasing completed educational level, contrary to data. However, when another counterfactual simulation assumed no effects of current educational level and enrollment on childbearing (without changing the estimated effects of childbearing on education), the simulated number of children ever born decreased with increasing completed educational level nearly as much as the decrease in the data. In summary, in these Norwegian data, childbearing impeded education much more than education impeded childbearing. These results suggest that women with advanced degrees have lower completed fertility on the average principally because women who have one or more children early are more likely to leave or not enter long educational tracks and never attain a high educational level.

UI MeSH Term Description Entries
D010298 Parity The number of offspring a female has borne. It is contrasted with GRAVIDITY, which refers to the number of pregnancies, regardless of outcome. Multiparity,Nulliparity,Primiparity,Parity Progression Ratio,Parity Progression Ratios,Ratio, Parity Progression,Ratios, Parity Progression
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D004522 Educational Status Educational attainment or level of education of an individual. Education Level,Educational Achievement,Educational Attainment,Educational Level,Level of Education,Maternal Education Level,Maternal Educational Attainment,Maternal Educational Level,Paternal Education Level,Paternal Educational Attainment,Paternal Educational Level,Achievement, Educational,Educational Status, Maternal,Educational Status, Paternal,Maternal Educational Status,Paternal Educational Status,Status, Educational,Attainment, Educational,Attainment, Maternal Educational,Attainment, Paternal Educational,Education Level, Maternal,Education Level, Paternal,Education Levels,Educational Achievements,Educational Attainment, Maternal,Educational Attainment, Paternal,Educational Attainments,Educational Level, Maternal,Educational Level, Paternal,Educational Levels,Level, Education,Level, Educational,Level, Maternal Education,Level, Maternal Educational,Level, Paternal Education,Level, Paternal Educational,Levels, Maternal Educational,Maternal Education Levels,Maternal Educational Attainments,Maternal Educational Levels,Paternal Education Levels,Paternal Educational Attainments,Paternal Educational Levels,Status, Maternal Educational,Status, Paternal Educational
D005260 Female Females
D005298 Fertility The capacity to conceive or to induce conception. It may refer to either the male or female. Fecundity,Below Replacement Fertility,Differential Fertility,Fecundability,Fertility Determinants,Fertility Incentives,Fertility Preferences,Fertility, Below Replacement,Marital Fertility,Natural Fertility,Subfecundity,World Fertility Survey,Determinant, Fertility,Determinants, Fertility,Fertility Determinant,Fertility Incentive,Fertility Preference,Fertility Survey, World,Fertility Surveys, World,Fertility, Differential,Fertility, Marital,Fertility, Natural,Preference, Fertility,Preferences, Fertility,Survey, World Fertility,Surveys, World Fertility,World Fertility Surveys
D005387 Finland A country in northern Europe, bordering the Baltic Sea, Gulf of Bothnia, and Gulf of Finland, between Sweden and Russia. The capital is Helsinki. Aland Islands,Åland Islands
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015331 Cohort Studies Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics. Birth Cohort Studies,Birth Cohort Study,Closed Cohort Studies,Cohort Analysis,Concurrent Studies,Historical Cohort Studies,Incidence Studies,Analysis, Cohort,Cohort Studies, Closed,Cohort Studies, Historical,Studies, Closed Cohort,Studies, Concurrent,Studies, Historical Cohort,Analyses, Cohort,Closed Cohort Study,Cohort Analyses,Cohort Studies, Birth,Cohort Study,Cohort Study, Birth,Cohort Study, Closed,Cohort Study, Historical,Concurrent Study,Historical Cohort Study,Incidence Study,Studies, Birth Cohort,Studies, Cohort,Studies, Incidence,Study, Birth Cohort,Study, Closed Cohort,Study, Cohort,Study, Concurrent,Study, Historical Cohort,Study, Incidence

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