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create identification problems. A data set with 4.5 million individual observations for long-term sickness absence in Norway …
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When using data from individuals who are in the labour force to disentangle the empirical relevance of cohort, age and time effects for sickness absence, the inference may be biased, affected by sorting-out mechanisms. One reason is unobserved heterogeneity potentially affecting both health...
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set for individual long-term sickness absence in Norway are given. The sensitivity to the estimated marginal effects of …
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