Measuring male fertility rates in developing countries with Demographic and Health Surveys: An assessment of three methods

Schoumaker, Bruno

doi:10.4054/demres.2017.36.28

Cited by 25 publications

(38 citation statements)

References 18 publications

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“…Zhang (2011) found that in the majority of 43 countries across the globe, levels of male fertility were lower than levels of female fertility; but also that when levels of fertility were high, male fertility tended to be relatively high. The latter finding is consistent with the results of Schoumaker (2019Schoumaker ( , 2017. From a demographic perspective, such disparities can be driven by three main factors: first, differences in the population sizes of males and females, i.e., in the sex ratio, which can affect both TFR and CFR differences; second, age differences between mothers and fathers in interplay with variation in cohort sizes (affecting the TFR and the CFR); and, third, gender differences in tempo effects, which can impact gender differences in the TFR, but not in the CFR.…”

Section: Differences In Quantum Of Male and Female Fertilitysupporting

confidence: 93%

“…It has, for instance, been shown that in Germany males are on average 3-4 years older than females at childbirth (Dudel and Klüsener 2016). Moreover, according to estimates by Schoumaker (2017), fathers in Mali and Niger are on average up to 12 years older than mothers.…”

Section: Toward a Comparative Assessment Of Male Fertility With Birthmentioning

confidence: 99%

“…Why male and female fertility can differ substantially with respect to quantum and timing is not yet well understood. Several mechanisms have been proposed to explain differences in fertility levels, including the ratio of males to females of reproductive age (Dudel and Klüsener 2016;Keilman et al 2014), and gender differences in the timing of births (Schoumaker 2019(Schoumaker , 2017. But the impact of each of these and other potential mechanisms on the quantum of male and female fertility has not been thoroughly studied, and the extent of their respective contributions to fertility differentials remains unknown.…”

Section: Toward a Comparative Assessment Of Male Fertility With Birthmentioning

confidence: 99%

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New opportunities for comparative male fertility research: insights from a new data resource based on high-quality birth registers

Dudel¹,

Klüsener²

2019

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Obtaining cross-country comparative perspectives on male fertility has long been difficult, as male fertility is usually less well registered than female fertility. This paper presents analyses based on a new male fertility database providing data on more than 330 million live births. This new resource, made available in the Human Fertility Collection, allows for the first time a comparative perspective on male fertility in high-income countries using high-quality birth register data. Contrasting male and female fertility trends across 17 countries, we show that trends in disparities between male and female period fertility rates are driven to a large degree by the interplay of parental age and cohort size differences. For parental age differences at childbirth, we observe a tendency toward smaller disparities, except in Eastern Europe. This observation fits with expectations based on gender theories. However, variation across countries also seems to be driven by factors other than gender equality.

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Section: Differences In Quantum Of Male and Female Fertilitysupporting

confidence: 93%

Section: Toward a Comparative Assessment Of Male Fertility With Birthmentioning

confidence: 99%

Section: Toward a Comparative Assessment Of Male Fertility With Birthmentioning

confidence: 99%

See 1 more Smart Citation

New opportunities for comparative male fertility research: insights from a new data resource based on high-quality birth registers

Dudel¹,

Klüsener²

2019

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“…In a stable population, the ratio of the male total fertility rate (TFR M ) to the female total fertility rate (TFR F ) can be approximated in the following way (Schoumaker ):

\frac{TF {normalR}^{normalM}}{TF {normalR}^{normalF}} \approx \frac{1}{SRB} \cdot \frac{p (M A C)}{p (M A F)} \cdot \exp false(r \cdot (T^{M} - T^{F}) false)

Where SRB is the sex ratio at birth (ratio of male births to female births), p(MAC) and p(MAF) are the survival probabilities from birth to the mean age at childbearing (women) and at fatherhood (men), r is the population growth rate, and T M and T F are the mean lengths of generation for men and women, which are closely related to the mean age at fatherhood and mean age at childbearing (Preston et al. ).…”

Section: Understanding Differences Between Male and Female Fertilitymentioning

confidence: 99%

“…Male agespecific fertility rates will also be constant and consistent with female fertility rates-i.e., will they lead to the same number of births and the same population growth rate. 12 In a stable population, the ratio of the male total fertility rate (TFR M ) to the female total fertility rate (TFR F ) can be approximated in the following way (Schoumaker 2017):…”

Section: Exploring Differences Between Male and Female Fertility In Smentioning

confidence: 99%

Male Fertility Around the World and Over Time: How Different is it from Female Fertility?

Schoumaker¹

2019

Population & Development Rev

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Male–Female Fertility Differentials Across 17 High-Income Countries: Insights From A New Data Resource

Dudel

Klüsener

2021

Eur J Population

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Obtaining cross-country comparative perspectives on male fertility has long been difficult, as male fertility is usually less well registered than female fertility. Recent methodological advancements in imputing missing paternal ages at childbirth enable us to provide a new database on male fertility. This new resource covers more than 330 million live births and is based on a consistent and well-tested set of methods. These methods allow us to handle missing information on the paternal age, which is missing for roughly 10% of births. The data resource is made available in the Human Fertility Collection and allows for the first time a comparative perspective on male fertility in high-income countries using high-quality birth register data. We analyze trends in male–female fertility quantum and tempo differentials across 17 high-income countries, dating as back as far as the late 1960s for some countries, and with data available for the majority of countries from the 1980s onward. Using descriptive and counterfactual analysis methods, we find substantial variation both across countries and over time. Related to the quantum we demonstrate that disparities between male and female period fertility rates are driven to a large degree by the interplay of parental age and cohort size differences. For parental age differences at childbirth, we observe a development toward smaller disparities, except in Eastern Europe. This observation fits with expectations based on gender theories. However, variation across countries also seems to be driven by factors other than gender equality.

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Measuring male fertility rates in developing countries with Demographic and Health Surveys: An assessment of three methods

Cited by 25 publications

References 18 publications

New opportunities for comparative male fertility research: insights from a new data resource based on high-quality birth registers

New opportunities for comparative male fertility research: insights from a new data resource based on high-quality birth registers

Male Fertility Around the World and Over Time: How Different is it from Female Fertility?

Male–Female Fertility Differentials Across 17 High-Income Countries: Insights From A New Data Resource

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