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The Impact of Demographic Burden on Insurance Density

Bibliographic Data

ID3363091
AuthorsElena Nebolsina (0000-0003-0738-4660, Moscow State Institute of International Relations, corresponding author)
Year2020
Volume10
Issue4
Publication date2020-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/2158244020983024
OpenAlexW3116020406
LanguageEN
Citations received1
References cited71

The article investigates the relationship between demographic burden and insurance market by employing panel vector autoregression models with six groups of endogenous variables to a dynamic panel data set of 25 economies for the period 1980-2016. Demographic burden is represented by dependency ratios measured in respect to the population younger than the age of 15 (young-age dependency ratio), population above the age of 64 (old-age dependency ratio) as well as males and females above the age of 64 being examined separately. As indicators of insurance market development, life insurance density, non-life insurance density, and total insurance density are used. The robustness of the results is verified across 10 subsamples of the main observation period. The conducted analyses show a heterogeneous impact of demographic burden on the insurance market. The impulse responses reveal that negative effects prevail in the long term, which may result from the negative impact of an increasing demographic burden on the economy. In the short term, growth in female and male old-age dependency ratios drives up life and non-life insurance density

Actuarial science · Demographic economics · Dependency ratio · Econometrics · Economics · Life insurance · Panel data · Population · Population ageing · Demography · Global Health Care Issues · Insurance and Financial Risk Management · Insurance, Mortality, Demography, Risk Management

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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