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Confidence intervals for population projections based on Monte Carlo methods

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  • Pflaumer, Peter

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  • Pflaumer, Peter, 1988. "Confidence intervals for population projections based on Monte Carlo methods," International Journal of Forecasting, Elsevier, vol. 4(1), pages 135-142.
    • Handle: RePEc:eee:intfor:v:4:y:1988:i:1:p:135-142
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    Cited by:

    1. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    2. Pflaumer, Peter, 1993. "Measuring the accuracy of population projections: An application of exploratory data analysis," Discussion Papers, Series II 199, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    3. Hendrik Hansen, 2013. "The forecasting performance of mortality models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(1), pages 11-31, January.
    4. Warren Sanderson & Sergei Scherbov & Brian O'Neill & Wolfgang Lutz, 2003. "Conditional Probabilistic Population Forecasting," VID Working Papers 0303, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    5. Pflaumer, Peter, 1991. "Population forecasting with the Box-Jenkins approach," Discussion Papers, Series II 129, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    6. Richard S. Grip & Meghan L. Grip, 2020. "Using Multiple Methods to Provide Prediction Bands of K-12 Enrollment Projections," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(1), pages 1-22, February.
    7. Raftery, Adrian E. & Ševčíková, Hana, 2023. "Probabilistic population forecasting: Short to very long-term," International Journal of Forecasting, Elsevier, vol. 39(1), pages 73-97.
    8. Hendrik Hansen & Peter Pflaumer, 2011. "Zur Prognose der Lebenserwartung in Deutschland: Ein Vergleich verschiedener Verfahren," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(3), pages 203-219, December.
    9. António Brandão Moniz, 2008. "Assessing scenarios on the future of work," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 4(4), pages 91-106, November.
    10. 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.
    11. Casas Sánchez, J.M. & Gutiérrez De Mesa, J.L. & Núñez Velázquez, J.J., 2003. "Generación de una proyección de la población española para el período 1996-2025, mediante un modelo de simulación estocástica," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 21, pages 73-90, Abril.
    12. Rodier, Caroline J. & Johnston, Robert A., 2002. "Uncertain socioeconomic projections used in travel demand and emissions models: could plausible errors result in air quality nonconformity?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 613-631, August.
    13. W. Lutz & P. Saariluoma & W.C. Sanderson & S. Scherbov, 2000. "New Developments in the Methodology of Expert- and Argument-Based Probabilistic Population Forecasting," Working Papers ir00020, International Institute for Applied Systems Analysis.

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