Volume 34 - Article 38 | Pages 1063–1074
Convergence in male and female life expectancy: Direction, age pattern, and causes
By Benjamin Seligman, Gabi Greenberg, Shripad Tuljapurkar
References
Arias, Elizabeth (2012). United States life tables, 2008. National vital statistics reports 61(3) (http://www.cdc.gov/nchs/data/nvsr/nvsr61/nvsr61\_03.pdf).
Armstrong, G L, Conn, L A, and Pinner, R W (1999). Trends in infectious disease mortality in the United States during the 20th century. Journal of the American Medical Association 281(1): 61-66 (http://www.ncbi.nlm.nih.gov/pubmed/9892452).
Edwards, Ryan D. and Tuljapurkar, Shripad (2005). Inequality in life spans and a new perspective on mortality convergence across industrialized countries. Population and Development Review 31(4): 645-674.
Gouni-Berthold, Ioanna, Berthold, Heiner K, Mantzoros, Christos S, Böhm, Michael, and Krone, Wilhelm (2008). Sex disparities in the treatment and control of cardiovascular risk factors in type 2 diabetes. Diabetes Care 31(7): 1389-1391.
Hyndman, Rob J, Booth, Heather, and Yasmeen, Farah (2013). Coherent mortality forecasting: The product-ratio method with functional time series models. Demography 50(1): 261-283.
Hyndman, Rob J and Khandakar, Yeasmin (2008). Automatic time series forecasting: The forecast package for R. Journal of Statistical Software 27(3): 1-22.
Lee, Ronald (1999). The Lee-Carter method for forecasting mortality, with various extensions and applications. North American Actuarial Journal 4(1): 80-93.
Lee, Ronald D and Carter, Lawrence R (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association 87(419): 659-671.
Levi, F (2002). Trends in mortality from cardiovascular and cerebrovascular diseases in Europe and other areas of the world. Heart 88(2): 119-124.
Li, Nan and Gerland, Patrick (2012). Modifying the Lee-Carter method to project mortality changes up to 2100.
Li, Nan and Lee, Ronald Demos (2005). Coherent mortality forecasts for a group of populations: An extension of the Lee-Carter method. Demography 42(3): 575-594.
Li, Nan, Lee, Ronald, and Gerland, Patrick (2013). Extending the Lee-Carter method to model the rotation of age patterns of mortality decline for long-term projections. Demography 50(6): 2037-2051.
Olshansky, S J and Ault, A B (1986). The fourth stage of the epidemiologic transition: The age of delayed degenerative diseases. The Milbank Quarterly 64(3): 355-391 (http://www.ncbi.nlm.nih.gov/pubmed/3762504).
Omran, A R (1971). The epidemiologic transition: A theory of the epidemiology of population change. The Milbank Quarterly 49(4): 509-38.
Parikh, Nisha I, Gona, Philimon, Larson, Martin G, Fox, Caroline S, Benjamin, Emelia J, Murabito, Joanne M, O'Donnell, Christopher J, Vasan, Ramachandran S, and Levy, Daniel (2009). Long-term trends in myocardial infarction incidence and case fatality in the National Heart, Lung, and Blood Institute's Framingham Heart study. Circulation 119(9): 1203-1210.
Preston, Samuel H., Keyfitz, Nathan, and Schoen, Robert (1972). Causes of death: life tables for national population. Napier: Seminar Press.
Preston, Samuel H. and Wang, Haidong (2006). Sex mortality differences in the United States: The role of cohort smoking patterns. Demography 43(4): 631-646.
Preston, Samuel, Heuveline, Patrick, and Guillot, Michel (2001). Demography: Measuring and modeling population processes. Hoboken: Wiley.
R Core Team (2012). R: A language and environment for statistical computing.
Roger, Véronique L, Weston, Susan A, Gerber, Yariv, Killian, Jill M, Dunlay, Shannon M, Jaffe, Allan S, Bell, Malcolm R, Kors, Jan, Yawn, Barbara P, and Jacobsen, Steven J (2010). Trends in incidence, severity, and outcome of hospitalized myocardial infarction. Circulation 121(7): 863-869.
RStudio (2012). RStudio : Integrated development environment for R [electronic resource]. Boston, MA.
Technical Panel on Assumptions and Methods (2011). Report to the Social Security Advisory Board. Washington, D.C.: Social Security Advisory Board.
Tuljapurkar, S, Li, N, and Boe, C (2000). A universal pattern of mortality decline in the G7 countries. Nature 405(6788): 789-792.
Tuljapurkar, Shripad and Edwards, Ryan D (2011). Variance in death and its implications for modeling and forecasting mortality. Demographic Research 24(21): 497-526.
University of California, Berkeley and Max Planck Institute for Demographic Research (no year). Human mortality database [electronic resource].
Vaccarino, Viola, Rathore, Saif S, Wenger, Nanette K, Frederick, Paul D, Abramson, Jerome L, Barron, Hal V, Manhapra, Ajay, Mallik, Susmita, and Krumholz, Harlan M (2005). Sex and racial differences in the management of acute myocardial infarction, 1994 through 2002. New England Journal of Medicine 353(7): 671-682.
Wang, Haidong and Preston, Samuel H (2009). Forecasting United States mortality using cohort smoking histories. Proceedings of the National Academy of Sciences of the United States of America 106(2): 393-398.