ON THE STRUCTURAL CHANGE OF THE LEE-CARTER MODEL AND ITS ACTUARIAL APPLICATION
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Publication:5205251
DOI10.7858/eamj.2019.027zbMath1428.62468OpenAlexW2967727845MaRDI QIDQ5205251
Endy Filintas Wiratama, Bangwon Ko, So-Yeun Kim
Publication date: 10 December 2019
Full work available at URL: https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002471564
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Estimation in survival analysis and censored data (62N02) Mathematical geography and demography (91D20)
Cites Work
- Modeling and Forecasting U.S. Mortality
- Evaluating the goodness of fit of stochastic mortality models
- Testing the null hypothesis of stationarity against the alternative of a unit root. How sure are we that economic time series have a unit root?
- GLS detrending, efficient unit root tests and structural change.
- Distribution of the Estimators for Autoregressive Time Series With a Unit Root
- SIMPLE, ROBUST, AND POWERFUL TESTS OF THE BREAKING TREND HYPOTHESIS
- Lee–Carter Mortality Forecasting: A Parallel Generalized Linear Modelling Approach for England and Wales Mortality Projections
- TESTING FOR A UNIT ROOT IN THE PRESENCE OF A POSSIBLE BREAK IN TREND