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Lee-Carter and the macroeconomy

2009
Using data for six OECD countries, this paper studies the effect of macroeconomic conditions on the mortality index kt in the well-known Lee-Carter model. Significant correlations are found with real GDP growth rates in Australia, Canada, and the United States, and with unemployment rate changes in Japan, for the period 19502005.
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Mortality forecasting at age 65 and above: an age-specific evaluation of the Lee-Carter model

Scandinavian Actuarial Journal, 2022
Marie-Pier Bergeron-Boucher   +1 more
exaly  

Lee–Carter models: The wider context

International Journal of Forecasting, 2023
openaire   +1 more source

Using the Lee–Carter Method to Forecast Mortality for Populations with Limited Data*

International Statistical Review, 2004
Ronald Lee, Shripad Tuljapurkar
exaly  

Evaluating and extending the Lee–Carter model for mortality forecasting: Bootstrap confidence interval

Insurance: Mathematics and Economics, 2006
Arnold F Shapiro, Göran Högnäs
exaly  

Fitting and forecasting mortality for Assam population by applying the Lee-Carter model

Journal of Statistics and Management Systems, 2020
Pallabi Saikia, Dimpal Jyoti Mahanta
exaly  

Identifiability issues of age–period and age–period–cohort models of the Lee–Carter type

Insurance: Mathematics and Economics, 2017
Eric Beutner   +2 more
exaly  

Forecasting mortality in subpopulations using Lee–Carter type models: A comparison

Insurance: Mathematics and Economics, 2015
Ivan Luciano Danesi   +2 more
exaly  

Lee-Carter family of stochastic mortality models

2014
Insurance companies are affected by many different kinds of risks. In the case of life insurance there are two main risks: the investment risk and the demographic risk. The latter can be split into insurance risk due to the random deviation of the number of deaths from its expected value, and longevity risk deriving from the improvement in mortality ...
openaire   +1 more source

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