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Contracts, Job Experience, and Cyclical Labor Market Adjustments

Authors: Raisian, John;

Contracts, Job Experience, and Cyclical Labor Market Adjustments

Abstract

Longitudinal estimates of the variability of individual wages, hours, and weeks worked over the course of changing demand states are provided for all workers generally and for workers of varied levels of job experience. Emphasis is placed on that part of job experience represented as years on current job, a commonly used proxy for the magnitude of firm-specific skills. Interpretation of resulting estimates in the context of the labor market contracting literature is attempted. Generally significant procyclical patterns are found for real weekly wages, weekly hours, and weeks worked. The extent of weekly wage variability is much greater than is generally suggested in the literature. Furthermore, workers with greater tenure exhibit greater cyclical wage and hours variability and less weeks variability. Finally, empirical distinctions are drawn separately for white-collar and blue-collar as well as union and nonunion workers.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
29
Average
Top 10%
Average
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