Projecting Spanish fertility at regional level: A hierarchical Bayesian approach
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DOI: 10.1371/journal.pone.0275492
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- Paraskevi Peristera & Anastasia Kostaki, 2007. "Modeling fertility in modern populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(6), pages 141-194.
- Peter McDonald, 2000. "Gender Equity in Theories of Fertility Transition," Population and Development Review, The Population Council, Inc., vol. 26(3), pages 427-439, September.
- Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
- Joanne Ellison & Erengul Dodd & Jonathan J. Forster, 2020. "Forecasting of cohort fertility under a hierarchical Bayesian approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 829-856, June.
- Arkadiusz Wiśniowski & Peter Smith & Jakub Bijak & James Raymer & Jonathan Forster, 2015. "Bayesian Population Forecasting: Extending the Lee-Carter Method," Demography, Springer;Population Association of America (PAA), vol. 52(3), pages 1035-1059, June.
- Wilde, Joshua & Chen, Wei & Lohmann, Sophie, 2020.
"COVID-19 and the Future of US Fertility: What Can We Learn from Google?,"
SocArXiv
2bgqs, Center for Open Science.
- Wilde, Joshua & Chen, Wei & Lohmann, Sophie, 2020. "COVID-19 and the Future of US Fertility: What Can We Learn from Google?," IZA Discussion Papers 13776, Institute of Labor Economics (IZA).
- Joshua Wilde & Wei Chen & Sophie Lohmann, 2020. "COVID-19 and the future of US fertility: what can we learn from Google?," MPIDR Working Papers WP-2020-034, Max Planck Institute for Demographic Research, Rostock, Germany.
- Lee, Ronald D., 1993. "Modeling and forecasting the time series of US fertility: Age distribution, range, and ultimate level," International Journal of Forecasting, Elsevier, vol. 9(2), pages 187-202, August.
- Marcantonio Caltabiano & Alessandro Rosina & Maria Castiglioni, 2009. "Lowest-Low Fertility: Signs of a recovery in Italy?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(23), pages 681-718.
- Stephan Klasen & TU THI NGOC Le & Janneke Pieters & Manuel Santos Silva, 2021.
"What Drives Female Labour Force Participation? Comparable Micro-level Evidence from Eight Developing and Emerging Economies,"
Journal of Development Studies, Taylor & Francis Journals, vol. 57(3), pages 417-442, March.
- Stephan Klasen & Janneke Pieters & Manuel Santos Silva & Le Thi Ngoc Tu, 2018. "What Drives Female Labor Force Participation? Comparable Micro-level Evidence from Eight Developing and Emerging Economies," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 253, Courant Research Centre PEG.
- Klasen, Stephan & Pieters, Janneke & Santos Silva, Manuel & Ngoc Tu, Le Thi, 2019. "What Drives Female Labor Force Participation? Comparable Micro-Level Evidence from Eight Developing and Emerging Economies," IZA Discussion Papers 12067, Institute of Labor Economics (IZA).
- Hyndman, Rob J. & Booth, Heather, 2008.
"Stochastic population forecasts using functional data models for mortality, fertility and migration,"
International Journal of Forecasting, Elsevier, vol. 24(3), pages 323-342.
- Rob J Hyndman & Heather Booth, 2006. "Stochastic population forecasts using functional data models for mortality, fertility and migration," Monash Econometrics and Business Statistics Working Papers 14/06, Monash University, Department of Econometrics and Business Statistics.
- Andrew Mason & Ronald Lee, 2011. "Population aging and the generational economy: key findings," Chapters, in: Ronald Lee & Andrew Mason (ed.), Population Aging and the Generational Economy, chapter 1, Edward Elgar Publishing.
- Ševčíková, Hana & Alkema, Leontine & Raftery, Adrian, 2011. "bayesTFR: An R package for Probabilistic Projections of the Total Fertility Rate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i01).
- Sigle-Rushton, Wendy, 2008. "England and Wales: stable fertility and pronounced social status differences," LSE Research Online Documents on Economics 31307, London School of Economics and Political Science, LSE Library.
- Jan Hoem & Dan Madien & Jørgen Nielsen & Else-Marie Ohlsen & Hans Hansen & Bo Rennermalm, 1981. "Experiments in modelling recent Danish fertility curves," Demography, Springer;Population Association of America (PAA), vol. 18(2), pages 231-244, May.
- Hyndman, Rob J. & Shahid Ullah, Md., 2007.
"Robust forecasting of mortality and fertility rates: A functional data approach,"
Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4942-4956, June.
- Rob J. Hyndman & Md. Shahid Ullah, 2005. "Robust forecasting of mortality and fertility rates: a functional data approach," Monash Econometrics and Business Statistics Working Papers 2/05, Monash University, Department of Econometrics and Business Statistics.
- repec:osf:socarx:2bgqs_v1 is not listed on IDEAS
- Leontine Alkema & Adrian Raftery & Patrick Gerland & Samuel Clark & François Pelletier & Thomas Buettner & Gerhard Heilig, 2011. "Probabilistic Projections of the Total Fertility Rate for All Countries," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 815-839, August.
- Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
- S. Bermúdez & R. Blanquero & J. A. Hernández & J. Planelles, 2012. "A new parametric model for fitting fertility curves," Population Studies, Taylor & Francis Journals, vol. 66(3), pages 297-310.
- Regina Madalozzo, 2012. "Transitions in Fertility for Brazilian Women: An Analysis of Impact Factors," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
- Wendy Sigle, 2008. "England and Wales: Stable fertility and pronounced social status differences," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(15), pages 455-502.
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