Deriving relative risks from aggregate data. 2. An application to the relationship between unemployment and suicide.
- 1 December 1988
- journal article
- research article
- Published by BMJ in Journal of Epidemiology and Community Health
- Vol. 42 (4) , 336-340
- https://doi.org/10.1136/jech.42.4.336
Abstract
In Part 1 of this study, the mathematical relations between micro and macro measures of effect were derived. The formulas thus obtained can be used for cross level comparisons of findings concerning the effect of some specific risk factor on, eg, mortality. The approach is illustrated by means of an empirical example relating to the association between unemployment and suicide. This relationship is estimated on micro data as well as on aggregate time series data. The findings from the two levels are fairly consistent.This publication has 18 references indexed in Scilit:
- Unemployment and mortality: comparison of the 1971 and 1981 longitudinal study census samples.BMJ, 1987
- UNEMPLOYMENT AND MORTALITY: FURTHER EVIDENCE FROM THE OPCS LONGITUDINAL STUDY 1971-81The Lancet, 1986
- Social class mortality differentials: artefact, selection or life circumstances?Journal of Epidemiology and Community Health, 1985
- Unemployment and Mental Health: Some Evidence from Panel DataThe Journal of Human Resources, 1985
- Unemployment and suicidal behaviour: A review of the literatureSocial Science & Medicine, 1984
- MORTALITY AND UNEMPLOYMENT: A CRITIQUE OF BRENNER'S TIME-SERIES ANALYSISThe Lancet, 1981
- Reexamining the Ecological Fallacy: A Study in Which Aggregate Data Are Critical in Investigating the Pathological Effects of Living AloneSocial Forces, 1980
- MORTALITY AND THE NATIONAL ECONOMYThe Lancet, 1979
- On the estimation of relative risk from vital statistical data.Journal of Epidemiology and Community Health, 1979
- Does Unemployment Cause the Death Rate Peak in Each Business Cycle? A Multifactor Model of Death Rate ChangeInternational Journal of Health Services, 1977