Dataset Information

Resilience and learning from insurance firms: Dataset on British long-term insurance market performance.

ABSTRACT: This data article revealed data about the UK long-term insurance market performance for over a decade. The data was acquired from the ABI and contains important trading results (i.e. premiums generated) across different types of long-term insurance. It also revealed the outgoings (i.e. claims incurred) and data on total individual business in force at year end - relating to number of policies. The data relates specifically to life and annuities, individual pensions, occupational pensions, income protection and other insurance business. The dataset revealed some important information on long-term insurance products within the UK insurance market which could serve as a high-quality resource for longitudinal analysis in the field. Thus, the data can provide crucial insights about UK long-term insurance market resilience during the global financial crisis and can be compare with different era, sectors and countries to show hidden business resilience factors, competitiveness and survival strategies.

SUBMITTER: Mafimisebi OP

PROVIDER: S-EPMC6280597 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Resilience and learning from insurance firms: Dataset on British long-term insurance market performance.

Mafimisebi Oluwasoye P OP Nworie Ifeanyichukwu I Hadleigh-Dunn Sara S

Data in brief 20181124

This data article revealed data about the UK long-term insurance market performance for over a decade. The data was acquired from the ABI and contains important trading results (i.e. premiums generated) across different types of long-term insurance. It also revealed the outgoings (i.e. claims incurred) and data on total individual business in force at year end - relating to number of policies. The data relates specifically to life and annuities, individual pensions, occupational pensions, income ...[more]

PMID: 30555874

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Project description:BackgroundSocial-environmental influences can affect animal cognition and health. Also, human socio-economic status is a covariate factor connecting psychometric test-performance (a measure of cognitive ability), educational achievement, lifetime health, and survival. The complimentary hypothesis, that mechanisms in physiology can explain some covariance between the same traits, is disputed. Possible mechanisms involve metabolic biology affecting integrity and stability of physiological systems during development and ageing. Knowledge of these relationships is incomplete, and underlying processes are challenging to reveal in people. Model animals, however, can provide insights into connections between metabolic biology and physiological stability that may aid efforts to reduce human health and longevity disparities.ResultsWe document a positive correlation between a measure of associative learning performance and the metabolic stress resilience of honeybees. This relationship is independent of social factors, and may provide basic insights into how central nervous system (CNS) function and metabolic biology can be associated. Controlling for social environment, age, and learning motivation in each bee, we establish that learning in Pavlovian conditioning to an odour is positively correlated with individual survival time in hyperoxia. Hyperoxia induces oxidative metabolic damage, and provides a measure of metabolic stress resistance that is often related to overall lifespan in laboratory animals. The positive relationship between Pavlovian learning ability and stress resilience in the bee is not equally established in other model organisms so far, and contrasts with a genetic cost of improved associative learning found in Drosophila melanogaster.ConclusionsSimilarities in the performances of different animals need not reflect common functional principles. A correlation of honeybee Pavlovian learning and metabolic stress resilience, thereby, is not evidence of a shared biology that will give insight about systems integrity in people. Yet, the means to resolve difficult research questions often come from findings in distant areas of science while the model systems that turn out to be valuable are sometimes the least predictable. Our results add to recent findings indicating that honeybees can become instrumental to understanding how metabolic biology influences life outcomes.

Dataset Information

Resilience and learning from insurance firms: Dataset on British long-term insurance market performance.

Publications

Resilience and learning from insurance firms: Dataset on British long-term insurance market performance.

Similar Datasets

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