The effect of education on fertility: Evidence from a compulsory schooling reform

Cygan-Rehm, Kamila; Maeder, Miriam

doi:10.1016/j.labeco.2013.04.015

Cited by 120 publications

(74 citation statements)

References 37 publications

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“…All the education levels were significant in explaining parity since their p-values were <0.05, implying that as the level of education increased parity decreased for the levels of education but the decrease in parity was highest at the tertiary level. These results concurred with Cygan-Rehm and Maeder [23] study which found out that women who have attained college education levels tend to have fewer children when compared to those with high school levels or lower levels. The study shows that married women have 1.2934 times more children than single women, which is 29.34% (Table 4).…”

Section: Results Of Fitted Poisson Regression Model With Both Educatisupporting

confidence: 90%

Prediction of the Effect of Demographic Characteristics on Parity Using Poisson Regression Model

Gatwiri

Muraya

Gitonga

2020

AJPAS

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There is growing interest among the public in demography since demographic change has become the subject of political debates in many countries. Statistics on demography are used to support policy-making and monitor demographic behaviour of political, economic, social and cultural perspectives. Most studies have used descriptive statistics to study demographic characteristics. Moreover, most of these studies investigate effects of individual character at a time. Therefore, there is a need to come up with more robust statistical methods, such as predictive models for demographic studies. The objective of this study was to predict the effect of demographic characteristics on parity using Poisson regression model. Secondary data on parity, age, marital status and education level was collected from Chuka and Embu hospital maternal units from 2013 to 2017. The data was analysed using R-statistical software. Three Poisson regression models (PRMs) were fitted. The likelihood ratio test of all the Poisson regression models had p-values < 0.05 indicating that all the models were statistically significant. Deviance test and Akaike Information Criterion (AIC) were used to assess the fit of Poisson regression models. The overall Poisson model had residual deviance of 184.23, which was the lowest of all other fitted PRM models, suggesting that it was the best fit. The AIC of the PRM with both education and marital status as the predictors had the lowest AIC value of 2078.620, indicating that it was the best fitted model. The dispersion test proved that PRM was not over-dispersed, confirming the model as a good fit of the data. The improved model can be used in prediction of population growth rates.

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Section: Results Of Fitted Poisson Regression Model With Both Educatisupporting

confidence: 90%

Prediction of the Effect of Demographic Characteristics on Parity Using Poisson Regression Model

Gatwiri

Muraya

Gitonga

2020

AJPAS

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“…In an attempt to examine the effect of compulsory schooling policies on fertility behaviours in Norway, Monstad et al () find that educated women tend to postpone their first birth to their 20s. Similar fertility effects of an additional year of schooling have been found in Germany (Cygan‐Rehm & Maeder ) and England (Fort et al ).…”

Section: Introductionsupporting

confidence: 77%

“…On the other hand, under positive assortative mating, women’s education can also have a multiplier effect on household income, as more educated women are more likely to partner with more educated men (Behrman & Rosenzweig ). Assuming that children are normal goods, higher family income may, therefore, lead to higher fertility rates (Cygan‐Rehm & Maeder ). Education imparts women with scientific knowledge that may lead them to challenge social norms and beliefs favouring large family sizes (Morgan & Hagewen ) .…”

Section: Introductionmentioning

confidence: 99%

Can increased educational attainment explain declining Indigenous fertility?

Venn

Dinku

2019

Aust J Social Issues

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Prior research shows that Aboriginal and Torres Strait Islander women are more likely to have children and have more children, on average, than non‐Indigenous women. However, like those of the total Australian population, fertility rates of Indigenous women have been declining since the 1970s. The decline has been more significant in recent years. Between 2006 and 2016, an increasing proportion of Indigenous women postponed childbirth from their teens into their 20s and 30s, leading women to have fewer children over their lifetimes. During the same period, there was a rapid increase in educational attainment among the Indigenous population. This paper examines educational gradients in fertility among Indigenous women and whether the observed fertility decline is linked with the increased educational attainment. Using data from the 2006, 2011 and 2016 Australian Census of Population and Housing and applying a shift‐share decomposition analysis, we find that education has been a big driver of falling fertility rates in non‐remote areas. In remote areas, education has had a much smaller effect (except for youngest women).

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“…Higher education has been almost universally found to be associated with lower fertility in the UK (e.g., Nettle, ; Rendall and Smallwood, ) as well as studies based on the World Fertility Surveys and Demographic Health Surveys (Kremer and Chen, ) in developed and developing countries. The majority of studies have focused on women's educational attainment in relation to number of offspring rather than on partners' educational level simultaneously (Amin and Behrman, ; Cohen et al, ; Cygan‐Rehm and Maeder, ; Weinberger ). However, there is an agreement that educationally homogamous marriages are more stable.…”

Section: Discussionmentioning

confidence: 99%

Is human mating for height associated with fertility? Results from a british national cohort study

Krzyzanowska

Mascie‐Taylor

Thalabard

2015

American J Hum Biol

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The effect of education on fertility: Evidence from a compulsory schooling reform

Cited by 120 publications

References 37 publications

Prediction of the Effect of Demographic Characteristics on Parity Using Poisson Regression Model

Prediction of the Effect of Demographic Characteristics on Parity Using Poisson Regression Model

Can increased educational attainment explain declining Indigenous fertility?

Is human mating for height associated with fertility? Results from a british national cohort study

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