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      Forecasting Mortality Indexes Allowing for Economic Growth Dependence = Forecasting Mortality Indexes Allowing for Economic Growth Dependence

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      https://www.riss.kr/link?id=A101759342

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      다국어 초록 (Multilingual Abstract)

      Objectives: In this study, we introduce a new forecasting methodology for future mortality rate to capture the long-run dynamics between mortality rates and economic variables, including real gross domestic product (GDP) and real GDP per capita. Metho...

      Objectives: In this study, we introduce a new forecasting methodology for future mortality rate to capture the long-run dynamics between mortality rates and economic variables, including real gross domestic product (GDP) and real GDP per capita. Methods: Using mortality data for South Korean males and females, we show the presence of long-run equilibrium relationships between macroeconomic variables and mortality rates, by implementing the Johansen cointegration methodology. Then their dynamics is modeled by using vector error correction models (VECMs). Results: The VECM forecasts show the significant impact of including economic variables on forecasting future mortality, compared with the forecasts obtained by a model with no economic factors, i.e., a random walk with drift. Conclusions: Our framework provides a methodology to model the dynamics of mortality rate in consideration of economic variables.

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      참고문헌 (Reference) 논문관계도

      1 Niu G, "Trends in mortality decrease and economic growth : 1 ~ 38" 2013

      2 Chan WS, "The CBD mortality indexes: modeling and applications" North American Actuarial Journal 18 (1) : 38 ~ 58, 2014

      3 Phillips PC, "Testing for a unit root in time series regression" Biometrika 75 (2) : 335 ~ 346, 1988

      4 Currie ID, "Soothing and forecasting mortality rates"

      5 Granger CW, "Some recent developments in the concept of causality" Journal of Econometrics 39 (1-2) : 199 ~ 211, 1988

      6 Tuljapurkar S, "Mortality change and forecasting: how much and how little do we know?" North American Actuarial Journal 2 (4) : 13 ~ 47, 1998

      7 Johansen S, "Modelling of cointegration in the vector autoregressive model" Economic Modelling 17 : 359 ~ 373, 2000

      8 Lee RD, "Modeling and forecasting US mortality" Journal of the American Statistical Association 87 (419) : 659 ~ 671, 1992

      9 Johansen S, "Maximum likelihood estimation and inference on cointegration with applications to the demand for money" Oxford Bulletin of Economics and Statistics 52 (2) : 169 ~ 210, 1990

      10 Tuljapurkar S, "Forecasting mortality change:questions and assumptions" North American Actuarial Journal 2 (4) : 127 ~ 134, 1998

      1 Niu G, "Trends in mortality decrease and economic growth : 1 ~ 38" 2013

      2 Chan WS, "The CBD mortality indexes: modeling and applications" North American Actuarial Journal 18 (1) : 38 ~ 58, 2014

      3 Phillips PC, "Testing for a unit root in time series regression" Biometrika 75 (2) : 335 ~ 346, 1988

      4 Currie ID, "Soothing and forecasting mortality rates"

      5 Granger CW, "Some recent developments in the concept of causality" Journal of Econometrics 39 (1-2) : 199 ~ 211, 1988

      6 Tuljapurkar S, "Mortality change and forecasting: how much and how little do we know?" North American Actuarial Journal 2 (4) : 13 ~ 47, 1998

      7 Johansen S, "Modelling of cointegration in the vector autoregressive model" Economic Modelling 17 : 359 ~ 373, 2000

      8 Lee RD, "Modeling and forecasting US mortality" Journal of the American Statistical Association 87 (419) : 659 ~ 671, 1992

      9 Johansen S, "Maximum likelihood estimation and inference on cointegration with applications to the demand for money" Oxford Bulletin of Economics and Statistics 52 (2) : 169 ~ 210, 1990

      10 Tuljapurkar S, "Forecasting mortality change:questions and assumptions" North American Actuarial Journal 2 (4) : 127 ~ 134, 1998

      11 O’Hare C, "Explaining young mortality" Insurance: Mathematics and Economics 50 (1) : 12 ~ 25, 2012

      12 Hanewald K, "Explaining mortality dynamics" North American Actuarial Journal 15 (2) : 290 ~ 314, 2012

      13 Lee RD, "Evaluating the performance of the Lee-Carter approach to modeling and forecasting mortality" Demography 38 (4) : 537 ~ 549, 2001

      14 Engle RF, "Co-integration and error correction representation, estimation and testing" Econometrica 55 (2) : 251 ~ 276, 1987

      15 Dowd K, "Backtesting stochastic mortality models" North American Actuarial Journal 14 (3) : 281 ~ 298, 2010

      16 Newey WK, "Automatic lag selection in covariance matrix estimation" Review of Economic Studies 61 : 631 ~ 653, 1994

      17 Buettner T, "Approaches and experiences in projecting mortality patterns for the oldest-old" North American Actuarial Journal 6 (3) : 14 ~ 29, 2002

      18 Ozeki M, "Application of mortality models to Japan" Presented at the living to 100 and beyond symposium : 1 ~ 45, 2005

      19 Tuljapurkar S, "A universal pattern of mortality decline in the G7 countries" Nature 405 : 789 ~ 792, 2000

      20 Cairns AJ, "A two-factor model for stochastic mortality with parameter uncertainty: theory and calibration" Journal of Risk and Insurance 73 (4) : 687 ~ 718, 2006

      21 Cairns AJ, "A quantitative comparison of stochastic mortality models using data from England and Wales and the United States" North American Actuarial Journal 13 (1) : 1 ~ 35, 2009

      22 Hunt A, "A general procedure for constructing mortality models" North American Actuarial Journal 18 (1) : 116 ~ 138, 2014

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