Search results for "Big microdata"

showing 2 items of 2 documents

Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain

2021

Abstract Despite the overwhelming evidence that shows the persistence of intra-annual variations on demographic events (deaths, birth dates and migration flows), life tables are computed and provided on an annual basis. This paper develops a new estimator for estimating sub-annual death rates that, considering the exact moment of occurrence (exact age and day) of events, concurrently accounts for ageing and calendar fluctuations. This paper also shows how modelling the intra-annual variations of death rates, through specific seasonal–ageing indexes, can be used as a tool for constructing new sub-annual tables from annual tables. This new methodology is exemplified using a real database of S…

Statistics and ProbabilityEstimationEconomics and Econometricspension systemsUNESCO::CIENCIAS ECONÓMICASseasonal–ageing indexesSeasonalityquarterlylife tablesmedicine.disease:CIENCIAS ECONÓMICAS [UNESCO]big microdatamortality ratesAgeingmedicineEconometricsEnvironmental scienceStatistics Probability and UncertaintySocial Sciences (miscellaneous)insuranceJournal of the Royal Statistical Society Series A: Statistics in Society
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Data granularity in mid-year life table construction

2020

[EN] Life tables have a substantial influence on both public pension systems and life insurance policies. National statistical agencies construct life tables from death rate estimates (𝑚���𝑥���), or death probabilities (𝑞���𝑥��� ), after applying various hypotheses to the aggregated figures of demographic events (deaths, migrations and births). The use of big data has become extensive across many disciplines, including population statistics. We take advantage of this fact to create new (more unrestricted) mortality estimators within the family of period-based estimators, in particular, when the exposed-to-risk population is computed through mid-year population estimates. We use actual d…

QcaDeath ratesbusiness.industryWeb dataBig dataLibrary scienceConferencePlsExposed-to-risk populationBig dataMid-year estimatorsLife tableBig microdataPolitical scienceSemAgency (sociology)Table (database)Christian ministryMortality tablesbusinessInternet dataCARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
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