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http://dx.doi.org/10.5351/KJAS.2018.31.1.041

A comparison of mortality projection by different time period in time series  

Kim, Soon-Young (Statistical Research Institute, Statistics Korea)
Oh, Jinho (Statistical Research Institute, Statistics Korea)
Kim, Kee-Whan (Department of Applied Statistics, Korea University)
Publication Information
The Korean Journal of Applied Statistics / v.31, no.1, 2018 , pp. 41-65 More about this Journal
Abstract
In Korea, as the mortality rate improves in a shorter period of time than in developed countries, it is important to consider the selection of the time series as well as the model selection in the mortality projection. Therefore, this study proposed a method using the multiple regression model in respect to the selection of the time series period. In addition, we investigate the problems that arise when various time series are used based on the Lee-Carter (LC) model, the kinds of LC model along with Lee-Miller (LM) and Booth-Maindonald-Smith (BMS), and the non-parametric model such as functional data model (FDM) and Coherent FDM, and examine differences in the age-specific mortality rate and life expectancy projection. Based on the analysis results, the age-specific mortality rate and predicted life expectancy of men and women are calculated for the year 2030 for each model. We also compare the mortality rate and life expectancy of the next generation provided by Korean Statistical Information Service (KOSIS).
Keywords
mortality projection model; life expectancy; age-specific mortality rates; Lee-Carter model; FDM; Coherent FDM;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Booth, H., Maindonald, J., and Smith, L. (2002). Applying Lee-Carter under conditions of variable mortality decline, Population Studies, 56, 325-336.   DOI
2 Kang, J. C., Lee, D. S., and Shung, J. H. (2006). A study on the methods for forecasting mortality considering longevity risk, The Journal of Risk Management, 17, 153-178.
3 KOSIS (2016). Population Projections (2015-2065).
4 Lee, R. D. and Carter, L. R. (1992). Modeling and forecasting U.S. mortality, Journal of the American Statistical Association, 87, 659-671.
5 Lee, R. D. and Miller, T. (2001). Evaluating the performance of the Lee-Carter method for forecasting mortality, Demography, 38, 537-549.   DOI
6 Park, K. A. (2011). Theory of practice of population projections, Statistics Training Institute.
7 Park, Y. S., Kim, K. W., Lee, D. H., and Lee, Y. K. (2005). A comparison of two models for forecasting mortality in South Korea, The Korean Journal of Applied Statistics, 18, 639-654.   DOI
8 Swanson, D. A. and Beck, D. M. (1994). A new short-term county population projection method, Journal of Economic and Social Measurement, 20, 25-50.
9 Tayman, J., Smith, S. K., and Lin, J. (2007). Precision, bias, and uncertainty for state population forecasts: An exploratory analysis of time series models, Population Research and Policy Review, 26, 347-369.   DOI
10 UNPD (2015). World Population Projections 2015 Revision.
11 Cairns, A. J. G., Blake, D., Dowd, K., Coughlan, G. D., Epstein, D., Ong, A., and Balevich, I. (2009). A Quantitative comparison of stochastic mortality models using data from England and Wales and the US, North American Actuarial Journal, 13, 1-35.   DOI
12 Hyndman, R. J. (2010), demography: Forecasting mortality, fertility, migration and population data. R package version 1.07. Contribution from Heather Booth and Leonie Tickle and John Maindonald.
13 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
14 Hyndman, R. J., Booth, H., and Yasmeen, F. (2013). Coherent mortality forecasting: the product-ratio method with functional time series models, Demography, 50, 261-283.   DOI
15 Hyndman, R. J. and Ullah, S. (2007). Robust forecasting of mortality and fertility rates: a functional data approach, Computational Statistics & Data Analysis, 51, 4942-4956.   DOI
16 Jeong, S. and Kim, K. W. (2011). A comparison study for mortality forecasting models by average life expectancy, The Korean Journal of Applied Statistics, 24, 115-125.   DOI
17 Jung, K., Back, J., and Kim, D. (2013). Comparison of mortality estimate and prediction by the period of time series data used, The Korean Journal of Applied Statistics, 26, 1019-1032.   DOI
18 Jung, K. and Kim, D. (2012). An estimation of an old age mortality rate using CK model and relational model, Communications of the Korean Statistical Society, 19, 859-868.