New Cohort Fertility Forecasts for the Developed World
نویسندگان
چکیده
The 1970s worries of the "population bomb" were replaced in the 1990s with concerns of population aging driven by falling birth rates. Across the developed world, the nearly universallyused fertility indicator, the period total fertility rate, fell well below two children per woman. However, declines in period fertility have largely been an artifact of later – but not necessarily less – childbearing. We produce new estimates of the actual number of children women have over their lifetimes – cohort fertility – for 37 developed countries. Our results suggest that family size has remained high in many "low fertility" countries. For example, cohort fertility averages 1.8 for the 1975 birth cohort in the 37 countries for which average period total fertility rate was only 1.5 in 2000. Moreover, we find that the long-term decline in cohort fertility has flattened or reversed in all world regions previously characterized by low fertility. These results are robust to statistical forecast uncertainty and the impact of the late 2000s recession. An application of the new forecasts analyzing the determinants of cohort fertility finds that the key dimensions of development that have been hypothesized to be important for fertility – general socioeconomic development, per capita income, and gender equality – are all positively correlated with fertility for the 1970s cohorts. Gender equality, however, emerges as the strongest determinant: where the gap in economic, political, and educational achievement between women and men is small, cohort fertility is high, whereas where the gap is large, fertility is low. Our new cohort fertility forecasts that document the flattening and even reversal of cohort fertility have large implications for the future of population aging and growth, particularly over the long term. [1] Corresponding author. Max Planck Institute for Demographic Research, Konrad-Zuse-Str 1, 18057 Rostock, Germany. Email [email protected]. Phone: 49 (0)381 2081-118, Fax: 49 (0)381 2081-418 [2] Max Planck Institute for Demographic Research, Konrad-Zuse-Str 1, 18057 Rostock, Germany. Email [email protected]. Phone: +49 (0)381 2081-107 [3] Institute of Sociology, Academia Sinica, 128, Sec. 2, Academia Road, Taipei 11529, Taiwan. Email [email protected]. Phone: + 886 (0)2 2652-5162
منابع مشابه
Stochastic population forecasts using functional data models for mortality, fertility and migration
Age-sex-specific population forecasts are derived through stochastic population renewal using forecasts of mortality, fertility and net migration. Functional data models with time series coefficients are used to model age-specific mortality and fertility rates. As detailed migration data are lacking, net migration by age and sex is estimated as the difference between historic annual population ...
متن کاملDemography and Sociology Program Research School of Social Sciences Stochastic Population Forecasts Using Functional Data Models for Mortality, Fertility and Migration
Age-sex-specific population forecasts are derived through stochastic population renewal using forecasts of mortality, fertility and net migration. Functional data models with time series coefficients are used to model age-specific mortality and fertility rates. As detailed migration data are lacking, net migration by age and sex is estimated as the difference between historic annual population ...
متن کاملA novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting
Industrial forecasting is a top-echelon research domain, which has over the past several years experienced highly provocative research discussions. The scope of this research domain continues to expand due to the continuous knowledge ignition motivated by scholars in the area. So, more intelligent and intellectual contributions on current research issues in the accident domain will potentially ...
متن کاملA New Analytical Model for Developing Fractional Flow Curve Using Production Data
The immiscible displacement of oil by water through a porous and permeable reservoir rock can be described by the use of a fractional flow curves (fw versus Sw). Water flooding project parameters can be obtained from the fractional flow curve. However, developing a representative fractional flow curve for a specific reservoir can be quite challenging when fluid and special core analysis data is...
متن کاملAssumptions for long-term stochastic population forecasts in 18 European countries
The aim of the 'Uncertain Population of Europe'(UPE) project was to compute long-term stochastic (probabilistic) population forecasts for 18 European countries. We developed a general methodology for constructing predictive distributions for fertility, mortality and migration. The assumptions underlying stochastic population forecasts can be assessed by analysing errors in past forecasts or mod...
متن کامل