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Modeling and forecasting the time series of US fertility: Age distribution, range, and ultimate level

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  • Lee, Ronald D.

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File URL: http://www.sciencedirect.com/science/article/B6V92-45P0C37-4/2/8f6d8cf3ee9ae4a98241ba686913ec04
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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 9 (1993)
Issue (Month): 2 (August)
Pages: 187-202

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Handle: RePEc:eee:intfor:v:9:y:1993:i:2:p:187-202

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Web page: http://www.elsevier.com/locate/ijforecast

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Cited by:
  1. Yoichi Okita & Wade D. Pfau & Giang Thanh Long, 2011. "A Stochastic Forecast Model for Japan's Population," Japanese Economy, M.E. Sharpe, Inc., vol. 38(2), pages 19-44, July.
  2. Auerbach, Alan J. & Lee, Ronald D, 2007. "Notional Defined Contribution Pension Systems in a Stochastic Context: Design and Stability," Berkeley Olin Program in Law & Economics, Working Paper Series qt37k785qq, Berkeley Olin Program in Law & Economics.
  3. 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.
  4. Alan J. Auerbach & Ronald Lee, 2009. "Welfare and Generational Equity in Sustainable Unfunded Pension Systems," NBER Working Papers 14682, National Bureau of Economic Research, Inc.
  5. 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.
  6. Rueda, Cristina & Rodríguez, Pilar, 2010. "State space models for estimating and forecasting fertility," International Journal of Forecasting, Elsevier, vol. 26(4), pages 712-724, October.
  7. W. Lutz & S. Scherbov, 1997. "Sensitivity Analysis of Expert-Based Probabilistic Population Projections in the Case of Austria," Working Papers ir97048, International Institute for Applied Systems Analysis.
  8. 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, vol. 48(3), pages 815-839, August.
  9. Tuljapurkar, Shripad & Boe, Carl, 1999. "Validation, probability-weighted priors, and information in stochastic forecasts," International Journal of Forecasting, Elsevier, vol. 15(3), pages 259-271, July.
  10. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
  11. Ortega, Jose Antonio & Poncela, Pilar, 2005. "Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models," International Journal of Forecasting, Elsevier, vol. 21(3), pages 539-550.
  12. Ryan D. Edwards & Ronald D. Lee & Michael W. Anderson & Shripad Tuljapurkar & Carl Boe, 2003. "Key Equations in the Tuljapurkar-Lee Model of the Social Security System," Working Papers wp044, University of Michigan, Michigan Retirement Research Center.
  13. Nico Keilman & Dinh Quang Pham & Arve Hetland, 2002. "Why population forecasts should be probabilistic - illustrated by the case of Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(15), pages 409-454, May.
  14. Giang, Thanh Long & Pfau, Wade Donald, 2008. "Demographic Changes and Pension Finances in Vietnam," MPRA Paper 9931, University Library of Munich, Germany.

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