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International mortality modelling—An economic perspective

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  • French, Declan
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    Abstract

    A recent literature has developed on modelling mortality in multiple populations together. The purpose of this paper is to suggest a reason why mortality in different populations may be related based on an economic literature on technology and knowledge diffusion.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0165176513004862
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    Bibliographic Info

    Article provided by Elsevier in its journal Economics Letters.

    Volume (Year): 122 (2014)
    Issue (Month): 2 ()
    Pages: 182-186

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    Handle: RePEc:eee:ecolet:v:122:y:2014:i:2:p:182-186

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    Web page: http://www.elsevier.com/locate/ecolet

    Related research

    Keywords: Mortality; Technology; Diffusion;

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    References

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    1. Adrian Raftery & Jennifer Chunn & Patrick Gerland & Hana Ševčíková, 2013. "Bayesian Probabilistic Projections of Life Expectancy for All Countries," Demography, Springer, vol. 50(3), pages 777-801, June.
    2. Papageorgiou, Chris & Savvides, Andreas & Zachariadis, Marios, 2007. "International medical technology diffusion," Journal of International Economics, Elsevier, vol. 72(2), pages 409-427, July.
    3. James Thornton, 2002. "Estimating a health production function for the US: some new evidence," Applied Economics, Taylor & Francis Journals, vol. 34(1), pages 59-62.
    4. Nan Li & Ronald Lee, 2005. "Coherent mortality forecasts for a group of populations: An extension of the lee-carter method," Demography, Springer, vol. 42(3), pages 575-594, August.
    5. Jonathan Skinner & Douglas Staiger, 2009. "Technology Diffusion and Productivity Growth in Health Care," NBER Working Papers 14865, National Bureau of Economic Research, Inc.
    6. Diego A. Comin & Bart Hobijn, 2009. "The CHAT Dataset," Harvard Business School Working Papers 10-035, Harvard Business School.
    7. Dowd, Kevin & Cairns, Andrew & Blake, David & Coughlan, Guy & Khalaf-Allah, Marwa, 2011. "A gravity model of mortality rates for two related populations," MPRA Paper 35738, University Library of Munich, Germany.
    8. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    9. Diego Comin & Bart Hobijn & Emilie Rovito, 2008. "Technology usage lags," Journal of Economic Growth, Springer, vol. 13(4), pages 237-256, December.
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