A methodology for population projections: an application to Spain
This paper looks at projections for the Spanish population by sex and age for the period of 2005 to 2050. These were carried out using forecasts for birth and mortality rates, and migration. These rates are calculated using two main sources of information. First, a multivariate time series model was applied for the series of variables from the 1970 to 2001 period. Second a model was estimated for life expectancy and for a synthetic fertility index. Both sources of information were combined to obtain the forecasts for the rates. Immigration rates are predicted by assuming three possible scenarios based on the maximum proportion that immigrants will represent in the Spanish population. With these variables a structure of ages and sex for the Spanish population is estimated using a cohort component model.
|Date of creation:||Sep 2008|
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- Pena, Daniel & Poncela, Pilar, 2004.
"Forecasting with nonstationary dynamic factor models,"
Journal of Econometrics,
Elsevier, vol. 119(2), pages 291-321, April.
- Peña, Daniel & Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
- Robert McNown & Andrei Rogers, 1989. "Forecasting Mortality: A Parameterized Time Series Approach," Demography, Springer;Population Association of America (PAA), vol. 26(4), pages 645-660, November.
- Gonzalo, J. & Granger, C., 1992.
"Estimation of Common Long-Memory Components in Cointegrated Systems,"
4, Boston University - Department of Economics.
- Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
- repec:sae:niesru:v:167:y::i:1:p:106-112 is not listed on IDEAS
- 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.
- Namkee Ahn & Juan Ramón García & José A. Herce, "undated". "Demographic Uncertainty and Health Care Expenditure in Spain," Working Papers 2005-07, FEDEA.
- Pena, Daniel & Redondas, Dolores, 2006. "Bayesian curve estimation by model averaging," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 688-709, February.
- 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.
- 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.
- Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
- 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.
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