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Summary
This study introduces two novel mortality indices, equivalent lengths of life, which adjust life expectancy for variations in age at death. These new measures offer a more nuanced understanding of mortality patterns using Gini
Area of Science:
- Demography
- Biostatistics
- Actuarial Science
Background:
- Traditional life expectancy measures do not fully capture mortality structure.
- Dispersion and asymmetry in age at death influence population health.
- Need for refined summary indices to assess mortality levels and patterns.
Purpose of the Study:
- To propose two new summary indices: equivalent lengths of life.
- To adjust life expectancies for mortality distribution characteristics.
- To provide a more comprehensive view of mortality data.
Main Methods:
- Development of two summary indices based on adjusted life expectancies.
- Incorporation of corrections for dispersion and asymmetry in age at death.
- Utilized Gini's Mean Difference for index computation.
Main Results:
- Introduced 'equivalent lengths of life' as novel mortality indices.
- Demonstrated the calculation using Italian life tables (1881-1970).
- Indices provide adjusted life expectancies accounting for mortality structure.
Conclusions:
- Equivalent lengths of life offer enhanced insights into mortality.
- These indices improve upon traditional life expectancy calculations.
- Applicable for demographic and public health analyses.
Keywords:
Age FactorsDemographic AnalysisDemographic FactorsDeveloped CountriesDifferential MortalityEuropeItalyLength Of LifeLife Expectancy--changesLife Table MethodLife TablesMediterranean CountriesMortality--changesPopulationPopulation CharacteristicsPopulation DynamicsResearch MethodologySouthern Europe