Modelling Heterogeneity in the Resilience to Major Socioeconomic Life Events - HAL-SHS - Sciences de l'Homme et de la Société
Pré-Publication, Document De Travail Année : 2017

Modelling Heterogeneity in the Resilience to Major Socioeconomic Life Events

Résumé

Using a novel, dynamic finite mixture model applied to 12 years of nationally representative panel data, we explore individual heterogeneity in the total psychological response (our measure of resilience) to ten major adverse life events, including serious illness, redundancy and crime victimisation. Importantly, this model takes into account that individuals are not randomly selected into adverse events, that some events are anticipated in advance of their occurrence, and that the immediate psychological response and the speed of adaptation may differ across individuals. Additionally, we generate a ‘standardised event’ in order to document the distribution of general resilience in the population. We find considerable heterogeneity in the response to adverse events, with the total psychological loss of people with low resilience being several times larger than the average loss. We also find that resilience is strongly correlated with clinical measures of mental health, but only weakly correlated with cognitive and non-cognitive traits. Finally, we find that resilience in adulthood to some extent is predictable by childhood socioeconomic circumstances; the strongest predictor we identify is good childhood health.
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Dates et versions

halshs-01485989 , version 1 (09-03-2017)

Identifiants

  • HAL Id : halshs-01485989 , version 1

Citer

Fabrice Etilé, Paul Frijters, David W. Johson, Michael A. Shields. Modelling Heterogeneity in the Resilience to Major Socioeconomic Life Events. 2017. ⟨halshs-01485989⟩
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