1 |
Alho, J. M. (1997). Scenario, uncertainty and conditional forecasts of the world population, Journal of Royal Statistical Society, 160, 71-85.
DOI
|
2 |
Alho, J. M. (2005). Remarks on the use of probabilities in demography and forecasting. In N. Keilman (Ed), Perspectives on Mortality Forecasting (Vol 2. Probabilistic Models, 27-38), Swedish Social Insurance Agency, Stockholm.
|
3 |
Alho, J. M. and Spencer, B. D. (1985). Uncertain population forecasting, Journal of the American Statistical Association, 80, 306-314.
DOI
|
4 |
Alders, M. and De Beer, J. (2004). Assumptions on fertility in stochastic population forecasts, International Statistical Review, 72, 65-79.
DOI
|
5 |
Alkema, L., Gerpand, P., Raftery, A., and Wilmoth, J. (2015). The United Nations Probabilistic Population Projections: an introduction to demographic forecasting with uncertainty, Foresight (Colch), 37, 19-24.
|
6 |
Billari, F. C., Graziani, R., and Melilli, E. (2012). Stochastic population forecasts based on conditional expert opinions, Journal of the Royal Statistical Society, 175, 491-511.
DOI
|
7 |
Booth, H. (2006). Demographic forecasting: 1980 to 2005 in review, International Journal of Forecasting, 22, 547-581.
DOI
|
8 |
Booth, H. and Tickle, L. (2008). Mortality modelling and forecasting: a review of methods, Annals of Actuarial Science, 3, 3-43.
DOI
|
9 |
Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations, Journal of the Royal Statistical Society, Series B, 26, 211-252.
|
10 |
De Beer, J. (2000). Dealing with uncertainty in population forecasting, Statistics Netherlands. Available from: www.cbs.nl/nr/rdonlyres/7dc466f9-fe4c-48dc-be90-30216b697548/0/dealingwithuncertainty.pdf
|
11 |
Dunstan, D. and Ball, C. (2016). Demographic projections: user and producer experiences of adoption a stochastic approach, Journal of Official Statistics, 32, 947-962.
DOI
|
12 |
Gerland, P., Raftery, A. E., Sevcikova, H., et al. (2014). World population stabilization unlikely this century, Science, 346, 234-237.
DOI
|
13 |
Hoem, J. M., Madsen, D., Nielsen, J. L., Ohlsen, E. M., Hansen, H. O., and Rennermalm, B. (1981). Experiments in modelling recent Danish fertility curves, Demography, 18, 231-244.
DOI
|
14 |
Horiuchi, S. and Wilmoth, J. R. (1995). Aging of Mortality Decline, Rockefeller University, New York.
|
15 |
Hyndman, R. J. and Booth, H. (2008). Stochastic population forecasts using functional data models for mortality, fertility and migration, International Journal of Forecasting, 24, 323-342.
DOI
|
16 |
Keilman, N. (2005). Erroneous population forecasts. In Perspectives on Mortality Forecasting: Vol II Probabilistic Models, N. Keilman (Ed), Swedish National Social Insurance Board, Stockholm.
|
17 |
Hyndman, R. J., Booth, H., and Yasmeen, F. (2013). Coherent mortality forecasting: the product-ration method with functional time series models, Demography, 50, 261-283.
DOI
|
18 |
Hyndman, R. J. and Ullah, M. S. (2007). Robust forecasting of mortality and fertility rates: a functional data approach, Computational Statistics & Data Analysis, 51, 4942-4956.
DOI
|
19 |
Kaneko, R. (2003). Elaboration of the Coale-McNeil nuptiality model as the generalized log gamma distribution: a new identity and empirical enhancements, Demographic Research, 9, 223-262.
DOI
|
20 |
Keilman, N., Pham, D. Q., and Hetland, A. (2002). Why population forecasts should be probabilistic - illustrated by the case of Norway, Demographic Research, 6, 409-454.
DOI
|
21 |
Keyfitz, N. (1981). The limits of population forecasting, Population and Development Review, 7, 579-593.
DOI
|
22 |
Kim, S. Y. and Oh, J. H. (2017). A study comparison of mortality projection using parametric and nonparametric model, The Korean Journal of Applied Statistics, 30, 701-717.
DOI
|
23 |
KOSTAT (2016). Population projection 2015-2065.
|
24 |
KOSTAT (2019). The Special population projection 2017-2067.
|
25 |
Lee, R. D. (1998). Probabilistic approaches to population forecasting, Population and Development Review, 24, 156-190.
DOI
|
26 |
Lee, R. D. (2004). Quantifying our ignorance: stochastic forecasts of population and public budgets, Population and Development Review, 30, 153-175.
|
27 |
Leslie, P. H. (1948). Some further notes on the use of matrices in population mathematics, Biometrika, 35, 213-245.
DOI
|
28 |
Lee, R. D. and Carter, L. R. (1992). Modeling and forecasting U.S. mortality, Journal of the American Statistical Association, 87, 659-671.
DOI
|
29 |
Lee, R. D. and Tuljapurkar, S. (1994). Stochastic population forecasts for the United States: beyond high, medium, and low, Journal of the American Statistical Association, 89, 1175-1189.
DOI
|
30 |
Leslie, P. H. (1945). The use of matrices in certain population mathematics, Biometrika, 33, 183-212.
DOI
|
31 |
Li, N. and Gerland, P. (2011). Modifying the Lee-Carter Method to Project Mortality Changes up to 2100, the Population Association of America 2011 Annual meeting-Washington, DC, Session 125, formal Demography I: Mathematical Models and Methods.
|
32 |
Li, N. and Lee, R. (2005). Coherent mortality forecasts for a group of populations: an extension of the Lee-Carter method, Demography, 42, 575-594.
DOI
|
33 |
Li, N., Lee, R., and Gerland, P. (2013). Extending the Lee-Cater method to model the rotation of age patterns of mortality decline for long-term projections, Demography, 50, 2037-2051.
DOI
|
34 |
Li, Q., Reuser, M., Kraus, C., and Alho, J. (2007). Aging of a giant: a stochastic population forecast for China, 2001-2050, MPIDR Working Papers WP-2007-032, Max Planck Institute for Demographic Research, Rostock, Germany.
|
35 |
Lutz, W. (2009). Toward a Systematic, Argument-Based Approach to Defining Assumptions for Population Projections (Interim Report IR-09-037), International Institute for Applied Systems Analysis, Austria. Available from: http://pure.iiasa.ac.at/9115/1/IR-09-037.pdf (accessed 19 May 2016).
|
36 |
MPIDR (2007). Aging of a giant: a stochastic population forecast for Poland, 2005-2050. MPIDR working paper WP-2007-32.
|
37 |
Lutz, W., Butz, W. P., and KC, S. (2014). World Population & Human Capital in the Twenty-first Century: Executive Summary, IIASA, Laxenburg, Austria.
|
38 |
Lutz, W. and Goldstein, J. R. (2004). Introduction: How to deal with uncertainty in population forecasting?, International Statistical Review, 72, 1-4.
DOI
|
39 |
MPIDR (2006). Stochastic forecast of the population of Poland, 2005-2050. MPIDR working paper WP-2006-26.
|
40 |
Oh, J. H. (2018). A comparison between the real and synthetic cohort of mortality for Korea, The Korean Journal of Applied Statistics, 31, 427-446.
DOI
|
41 |
ONS (2009). progress report on developing stochastic population forecasts for the United Kingdom.
|
42 |
Ramsay, J. O. and Silverman, B. W. (2005). Functional Data Analysis (2nd ed), Springer-Verlag, New York.
|
43 |
Raftery, A. E., Li, N., Sevcikova, H., Gerland, P., and Heilig, G. K. (2012). Bayesian probabilistic population projections for all countries, Proceedings of the National Academy of Sciences, 109, 13915-13921.
DOI
|
44 |
Raftery, A. E., Chunn, J. L., Gerland, P., and Sevcikova, H. (2013). Bayesian probabilistic projections of life expectancy for all countries, Demography, 50, 777-801.
DOI
|
45 |
SCB (2006). Stochastic Population Projections for Sweden, Research and Development, Methodology reports from Statistics Sweden.
|
46 |
Smith, D. P. and Keyfitz, N. (1977). Mathematical Demography: Selected Papers, Springer Verlag, Berlin.
|
47 |
Statistics NZ (2016). National Population Projections: 2016(base)-2068. Available from: http://www.stats.govt.nz/browse for stats/population/estimates and projections/NationalPopulationProjections HOTP2016.aspx (accessed 25 October 2016)
|
48 |
Smith, S. K., Tayman, J., and Swanson, D. A. (2001). State and Local Population Projections: Methodology and Analysis, Kluwer Academic/Plenum Publishers, New York.
|
49 |
Stoto, M. (1983). The accuracy of population projections, Journal of the American Statistical Association, 78, 13-20.
DOI
|
50 |
Statistics Canada (2015). Population Projections for Canada (2013 to 2063), Provinces and Territories (2013 to 2038): Technical Report on Methodology and Assumptions.
|
51 |
UN (2017). World Population Prospects 2017.
|
52 |
UN (2019). World Population Prospects 2019.
|
53 |
UNICEF (2017). Level & Trends in Child Mortality.
|
54 |
VID (2016). 40 years of the Vienna Institute of Demography 1975-2015.
|
55 |
Woo, H. B. (2010). Stochastic demographic and population forecasting, Korea Journal of Population Studies, 33, 161-189.
|