Haberman
Biographic Data
| ID | 1592584 |
|---|---|
| NAME | Haberman |
| FAMILY NAME | Haberman |
| SIGNATURE | HABERMAN |
| AFFILIATIONS | City, University of London |
| ORCID | 0000-0003-2269-9759 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1978 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Frailty-based Lee–Carter family of stochastic mortality models
In the actuarial literature, frailty is defined to be the unobserved variable which encompasses all the factors affecting human mortality other than gender and age. Heterogeneity in individual frailty can play a significant role in population mortality dynamics. In the present paper, we identify the main latent factors that explain the frailty component, in order to clarify its role in mortality projections. We show, using longitudinal survey dat…
Multipopulation mortality analysis
Effect of the Covid-19 frailty heterogeneity on the future evolution of mortality by stratified weighting
The starting point of our research is the inadequacy of assuming, in the construction of a model of mortality, that frailty is constant for the individuals comprising a demographic population. This assumption is implicitly made by standard life table techniques. The substantial differences in the individual susceptibility to specific causes of death lead to heterogeneity in frailty, and this can have a material effect on mortality models and proj…
Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model
The parametric model introduced by Lee and Carter in 1992 for modeling mortality rates in the USA was a seminal development in forecasting life expectancies and has been widely used since then. Different extensions of this model, using different hypotheses about the data, constraints on the parameters, and appropriate methods have led to improvements in the model's fit to historical data and the model's forecasting of the future. This paper's mai…
Modern Jerusalem's Demographic Evolution
The relationship between incidence and prevalence
Sex differences in the incidence of cerebrovascular disease
Incidence rates for cerebrovascular disease reported by community-based and hospital-based studies during the past 15 years are analysed. The range of variation between area is wide, with Japan and Finland experiencing the highest age-adjusted rates. Of 16 studies reporting incidence rates by sex, 15 showed a male excess, and nine of these were significant when the incidence rate was age-adjusted. Overall, the excess is about 30% for both communi…
Application of mathematical results to stroke incidence and prevalence data
Probabilistic treatment of the incidence and prevalence of disease
Mathematical treatment of the incidence and prevalence of disease
Application of mathematical results to stroke incidence and prevalence data
Probabilistic treatment of the incidence and prevalence of disease
Mathematical treatment of the incidence and prevalence of disease
Sex differences in the incidence of cerebrovascular disease
Incidence rates for cerebrovascular disease reported by community-based and hospital-based studies during the past 15 years are analysed. The range of variation between area is wide, with Japan and Finland experiencing the highest age-adjusted rates. Of 16 studies reporting incidence rates by sex, 15 showed a male excess, and nine of these were significant when the incidence rate was age-adjusted. Overall, the excess is about 30% for both communi…
The relationship between incidence and prevalence
Modern Jerusalem's Demographic Evolution
Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model
The parametric model introduced by Lee and Carter in 1992 for modeling mortality rates in the USA was a seminal development in forecasting life expectancies and has been widely used since then. Different extensions of this model, using different hypotheses about the data, constraints on the parameters, and appropriate methods have led to improvements in the model's fit to historical data and the model's forecasting of the future. This paper's mai…
Effect of the Covid-19 frailty heterogeneity on the future evolution of mortality by stratified weighting
The starting point of our research is the inadequacy of assuming, in the construction of a model of mortality, that frailty is constant for the individuals comprising a demographic population. This assumption is implicitly made by standard life table techniques. The substantial differences in the individual susceptibility to specific causes of death lead to heterogeneity in frailty, and this can have a material effect on mortality models and proj…
Frailty-based Lee–Carter family of stochastic mortality models
In the actuarial literature, frailty is defined to be the unobserved variable which encompasses all the factors affecting human mortality other than gender and age. Heterogeneity in individual frailty can play a significant role in population mortality dynamics. In the present paper, we identify the main latent factors that explain the frailty component, in order to clarify its role in mortality projections. We show, using longitudinal survey dat…
Multipopulation mortality analysis
Demography (10 works) · Mathematics (8 works) · Medicine (7 works) · Statistics (7 works) · Econometrics (5 works) · Global Health Care Issues (5 works) · Insurance, Mortality, Demography, Risk Management (5 works) · Sociology (5 works) · Population (4 works) · Computer Science (3 works)