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The effects of sick-leaves on erarnings

Authors: Markussen, Simen;

The effects of sick-leaves on erarnings

Abstract

This paper assesses the causal effect of sick-leaves on subsequent earnings using an administrative dataset for Norway linking individual earnings, sick-leave records and primary care physicians. The leniency of a worker's physician - certifying sickness absence - is used as instrument for sick-leaves. Sick-leaves have a substantial impact on future earnings, reducing earnings by .3 percent per day of absence. When conditioning on full-time employment also two years after sickness the effect is .06 percent per day of absence. These effects are persistent over time and work mainly through wages not hours.

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Keywords

wage regression, Lohn, J22, J24, sickness absence; wage formation; IV estimation; wage regression, J31, C31, J71, Norwegen, ddc:330, J33, sickness absence, wage formation, Regression, IV estimation, Lohnbildung, Fehlzeit, Krankheit, jel: jel:J24, jel: jel:J22, jel: jel:C31, jel: jel:J71, jel: jel:J31, jel: jel:J33

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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