Uncertainty in Population Forecasts for the Twenty-First Century

Literature Cited

1. Alders M, Cruijsen H, Keilman N 2007. Assumptions for long-term stochastic population forecasts in 18 European countries. Eur. J. Popul. 23:33–69
   [Google Scholar]
2. Alders M, De Beer J 1998. Kansverdeling van de bevolkingsprognose. Maandstat. Bevolk. 46:8–11
   [Google Scholar]
3. Alho JM. 2015. Population forecasts. International Encyclopedia of the Social and Behavioral Sciences J Wright 593–96 Amsterdam: Elsevier. , 2nd ed..
   [Google Scholar]
4. Alho JM, Alders M, Cruijsen H, Keilman N, Nikander T, Pham DQ 2006. New forecast: population decline postponed in Europe. Stat. J. United Nations Econ. Comm. Eur. 23:1–10
   [Google Scholar]
5. Alho JM, Cruijsen H, Keilman N 2008. Empirically based specification of forecast uncertainty. Uncertain Demographics and Fiscal Sustainability JM Alho, SE Hougaard Jensen, J Lassila 34–55 Cambridge, UK: Cambridge Univ. Press
   [Google Scholar]
6. Alho JM, Spencer B. 1985. Uncertain population forecasting. J. Am. Stat. Assoc. 85:306–14
   [Google Scholar]
7. Alho JM, Spencer B. 2005. Statistical Demography and Forecasting New York: Springer
8. Alkema L, Raftery AE, Gerland P, Clark SJ, Pelletier F et al. 2011. Probabilistic projections of the total fertility rate for all countries. Demography 48:815–39
   [Google Scholar]
9. Armstrong J. 1985. From Crystal Ball to Computer New York: Wiley. , 2nd ed..
10. Bijak J, Alberts I, Alho J, Bryant J, Buettner T et al. 2015. Letter to the Editor: Probabilistic population forecasts for informed decision-making. J. Off. Stat. 31:4537–44
    [Google Scholar]
11. Bijak J, Bryant J. 2016. Bayesian demography 250 years after Bayes. Popul. Stud. 70:11–19
    [Google Scholar]
12. Boudon R. 1986. Theories of Social Change: A Critical Appraisal Cambridge, UK: Polity Press
13. Burch TK. 2003. The cohort-component population projection: a strange attractor for demographers. Populations, Projections and Politics J Fleischhacker, HA de Gans, TK Burch 39–57 Amsterdam: Rozenberg
    [Google Scholar]
14. Cai Y, Golub AA, Hertel TW 2017. Agricultural research spending must increase in light of future uncertainties. Food Policy 70:71–83
    [Google Scholar]
15. Cappelen Å, Skjerpen T, Tønnessen M 2014. Forecasting immigration in official population projections using an econometric model. Int. Migr. Rev. 49:4945–80
    [Google Scholar]
16. Cent. Reprod. Rights 2013. New report: Tanzania forces girls to undergo invasive pregnancy tests, expels pregnant students Press Release, Sept. 26. https://www.reproductiverights.org/press-room/new-report-tanzania-forces-girls-to-undergo-invasive-pregnancy-tests-expels-pregnant-stud
17. Christensen P, Gillingham K, Nordhaus W 2018. Uncertainty in forecasts of long-run economic growth. PNAS 15:215409–14
    [Google Scholar]
18. Christiansen SG, Keilman N. 2013. Probabilistic household forecasts based on register data: the case of Denmark and Finland. Demogr. Res. 28:1263–1302
    [Google Scholar]
19. Cohen J. 1986. Population forecasts and confidence intervals for Sweden: a comparison of model-based and empirical approaches. Demography 23:1105–26
    [Google Scholar]
20. Cohen J. 2005. Human population grows up. Sci. Am. 293:348–55
    [Google Scholar]
21. Cohen J. 2010. Population and climate change. Proc. Am. Philos. Soc. 154:2158–82
    [Google Scholar]
22. Cohen JE, Kravdal Ø, Keilman N 2011. Childbearing impeded education more than education impeded childbearing among Norwegian women. PNAS 108:2911830–35
    [Google Scholar]
23. De Gans H. 1999. Population Forecasting 1895–1945 Dordrecht: Kluwer
24. De Sherbinin A, Carr D, Cassels S, Jiang L 2007. Population and environment. Annu. Rev. Environ. Resour. 32:345–73
    [Google Scholar]
25. Eurostat 2003. Trends in households in the European Union: 1995–2025 Rep. Theme 3-24/2003, Eurostat Luxembourg City:
26. Feng Q. 2019. Projecting household and living arrangements in Asia. Asian Popul. Stud. 15:239–42
    [Google Scholar]
27. Gerland P, Raftery A, Ševčíková H, Li N, Gu D et al. 2014. World population stabilization unlikely this century. Science 346:234–37
    [Google Scholar]
28. Gerster M, Ejrnæs M, Keiding N 2014. The causal effect of educational attainment on completed fertility for a cohort of Danish women: Does feedback play a role. ? Stat. Biosci. 6:2204–22
    [Google Scholar]
29. Greene WH. 2003. Econometric Analysis Upper Saddle River, NJ: Prentice Hall. , 5th ed..
30. Gu D, Feng Q, Wang Z, Zeng Y 2015. Recommendation to consider the crucial impacts of trends in smaller household size on sustainable development goals GSDR 2015 Brief, United Nations New York:
31. Henry L. 1987. Perspectives et prévision. Les Projections Démographiques T1. Actes du VIIIe Colloque National de Démographie, Tome 1 Paris: Presses Univ. de France
    [Google Scholar]
32. Istat (Ital. Natl. Inst. Stat.) 2018. Il futuro demografico del paese: previsioni regionali della popolazione residente al 2065 (base 1.1.2017) Stat. Rep., March 3. Istat Rome.: https://www.istat.it/it/files/2018/05/previsioni_demografiche.pdf
33. Keilman N. 2001. Uncertain population forecasts. Nature 412:490–91
    [Google Scholar]
34. Keilman N. 2003. The threat of small households. Nature 421:489–90
    [Google Scholar]
35. Keilman N. 2008. European demographic forecasts have not become more accurate during the past 25 years. Popul. Dev. Rev. 34:1137–53
    [Google Scholar]
36. Keilman N. 2016a. A combined Brass-random walk approach to probabilistic household forecasting: Denmark, Finland, and the Netherlands 2011–2041. J. Popul. Res. 34:117–43
    [Google Scholar]
37. Keilman N. 2016b. Household forecasting: Preservation of age patterns. Int. J. Forecast. 32:3726–35
    [Google Scholar]
38. Keilman N. 2019. Erroneous population forecasts. Old and New Perspectives on Mortality Forecasting T Bengtsson, N Keilman 95–111 Cham, Switz: Springer Open
    [Google Scholar]
39. Keilman N, Pham DQ. 2004. Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area Discuss. Pap. 386, Statistics Norway Oslo:
40. Keyfitz N. 1981. The limits of population forecasting. Popul. Dev. Rev. 7:579–93
    [Google Scholar]
41. Keyfitz N. 1982. Can knowledge improve forecasts. ? Popul. Dev. Rev. 8:729–51
    [Google Scholar]
42. Keyfitz N. 1985. A probability representation of future population. Z. Bevölkerungswiss. 11:2179–91
    [Google Scholar]
43. Kuijsten AC. 1988. Demografische toekomstbeelden van Nederland Rep. 49, Planol. Demogr. Inst., Univ Amsterdam:
44. Laplace PS. 1902. A Philosophical Essay on Probabilities, transl FW Truscott, FL Emory New York: John Wiley & Sons (from French)
    [Google Scholar]
45. Lee R. 1999. Probabilistic approaches to population forecasting. Popul. Dev. Rev. 24:Suppl.156–90
    [Google Scholar]
46. Lee R, Tuljapurkar S. 1994. Stochastic population forecasts for the United States: beyond high, medium and low. J. Am. Stat. Assoc. 89:1175–89
    [Google Scholar]
47. Lutz W, Butz WP, KC S 2014. World Population and Human Capital in the Twenty-First Century Oxford, UK: Oxford Univ. Press
48. Lutz W, Goldstein J. 2004. Introduction: How to deal with uncertainty in population forecasting. ? Int. Stat. Rev. 72:11–4
    [Google Scholar]
49. Lutz W, Goujon A, KC S, Stonawski M, Stilianakis N 2018. Demographic and Human Capital Scenarios for the 21st Century: 2018 Assessment for 201 Countries Luxembourg: Publ. Off. Eur. Union
50. MacKellar FL, Lutz W, Prinz C, Goujon A 1995. Population, households, and CO₂ emissions. Popul. Dev. Rev. 21:849–65
    [Google Scholar]
51. Nagel E. 1961. The Structure of Science: Problems in the Logic of Scientific Explanations New York: Harcourt, Brace & World
52. NRC (Natl. Res. Counc.) 2000. Beyond Six Billion: Forecasting the World's Population. Washington, DC: Natl. Acad. Press
    [Google Scholar]
53. O'Neill B, Balk D. 2001. World population futures Popul. Bull. 56(3), Popul. Ref. Bur Washington, DC: https://www.prb.org/worldpopulationfuturespdf338kb/
54. O'Neill BC, Chen BS. 2002. Demographic determinants of household energy use in the United States. Popul. Dev. Rev. 28:Suppl.53–88
    [Google Scholar]
55. O'Neill BC, Kriegler E, Riahi K, Ebi KL, Hallegatte S et al. 2014. A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Clim. Change 122:3387–400
    [Google Scholar]
56. Oswald A, Stern N. 2019. Why are economists letting down the world on climate change. ? VOX CEPR Policy Portal Sept. 17. https://voxeu.org/article/why-are-economists-letting-down-world-climate-change
    [Google Scholar]
57. Pollard JH. 1966. On the use of the direct matrix product in analysing certain stochastic population models. Biometrika 53:397–415
    [Google Scholar]
58. Preston SH, Heuveline P, Guillot M 2001. Demography: Measuring and Modeling Population Processes Oxford, UK: Blackwell
59. Psaki SR, Soler-Hampejsek E, Saha J, Mensch BS, Amin S 2019. The effect of adolescent childbearing on literacy and numeracy in Bangladesh, Malawi, and Zambia. Demography 56:1899–929
    [Google Scholar]
60. Raftery AE, Li N, Ševčíková H, Gerland P, Heilig G 2012. Bayesian probabilistic population projections for all countries. PNAS 109:3513915–21
    [Google Scholar]
61. Raftery AE, Zimmer A, Frierson DMW, Startz R, Liu P 2017. Less than 2°C warming by 2100 unlikely. Nat. Clim. Change 7:637–41
    [Google Scholar]
62. Rindfuss RR, St. John C, Bumpass LL 1984. Education and the timing of motherhood: disentangling causation. J. Marriage Fam. 46:4981–84
    [Google Scholar]
63. Rogers A. 1995. Multiregional Demography Chichester, UK: Wiley & Sons
64. Rowland D. 2003. Demographic Methods and Concepts Oxford, UK: Oxford Univ. Press
65. Sanderson W. 1998. Knowledge can improve forecasts: a review of selected socioeconomic population projection models. Popul. Dev. Rev. 24:Suppl.88–117
    [Google Scholar]
66. Schweder T. 1971. The precision of population projections studied by multiple prediction methods. Demography 8:4441–50
    [Google Scholar]
67. Ševčíková H, Li N, Kantorová V, Gerland P, Raftery A 2016. Age-specific mortality and fertility rates for probabilistic population projections. Dynamic Demographic Analysis R Schoen 285–310 Cham, Switz: Springer
    [Google Scholar]
68. Springer S. 2007. La projection des ménages selon la taille pour tous les pays membres de l'ONU: Utopie ou approche valable? PhD Thesis, Univ. Montesquieu–Bordeaux IV, Fr .
69. Stats NZ. 2012. National population projections: 2011(base)–2061 Bull., July 19, Stats NZ Wellington: http://archive.stats.govt.nz/browse_for_stats/population/estimates_and_projections/NationalPopulationProjections_HOTP2011.aspx
70. Sykes ZM. 1969. Some stochastic versions of the matrix model for population dynamics. J. Am. Stat. Assoc. 64:111–30
    [Google Scholar]
71. Törnquist L. 1949. Om de synspunkter, som bestämt valet av de primära prognos-antaganda. Beräkningar rörande Finlands Befolkning, dess Reproduktion och Framtida Utveckling J Hyppolä, A Tunkelo, L Törnquist 69–75 Helsinki: Stat. Cent.
    [Google Scholar]
72. Tversky A, Kahneman D. 1974. Judgment under uncertainty: heuristics and biases. Science 185:1124–31
    [Google Scholar]
73. UNECE (UN Econ. Comm. Eur.) 2006. Conference of European statisticians recommendations for the 2010 censuses of population and housing Rep. ECE/CES/STAT/NONE/2006/4 UNECE, Geneva: https://www.unece.org/fileadmin/DAM/stats/publications/CES_2010_Census_Recommendations_English.pdf
74. UNECE (UN Econ. Comm. Eur.) 2018. Recommendations on communicating population projections Rep. ECE/CES/STAT/2018/1, UNECE Geneva: https://www.unece.org/fileadmin/DAM/stats/publications/2018/ECECESSTAT20181.pdf
75. United Nations 1981. Estimates and projections of the number of households by country,1975–2000 . Based on the 1973 assessment of population estimates and projections. Rep., Dep. Int. Econ. Soc. Aff. Pop. Div., UN New York:
76. United Nations 2013. World population prospects: the 2012 revision. Volume 1: comprehensive tables. Rep. ST/ESA/SER.A/336, Dep. Econ. Soc. Aff., Pop. Div., UN New York: https://population.un.org/wpp/Publications/Files/WPP2012_Volume-I_Comprehensive-Tables.pdf
77. United Nations 2015. World population prospects: the 2015 revision. Volume I: comprehensive tables. Rep. ST/ESA/SER.A/379, Dep. Econ. Soc. Aff., Pop. Div., UN New York: https://population.un.org/wpp/Publications/Files/WPP2015_Volume-I_Comprehensive-Tables.pdf
78. United Nations 2019a. World Population Prospects 2019 Data Booklet ST/ESA/SER.A/424, Dep. Econ. Soc. Aff., Pop. Div., UN New York: https://www.un.org/development/desa/pd/content/world-population-prospects-2019-databooklet
79. United Nations 2019b. How certain are the United Nations global population projections? Population Facts Dec., Dep. Econ. Soc. Aff., UN New York: https://www.un.org/en/development/desa/population/publications/pdf/popfacts/PopFacts_2019-6.pdf
80. Zeng Y, Li L, Wang Z 2017. Households and home-based energy consumption projections in Hebei province of China Final Rep., Asian Dev. Bank Tech. Assist. Proj. TA-9042 PRC, Asian Dev. Bank, Mandaluyong, Phillip.