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Statistical Externalities and the Labour Market in the Digital Age

Authors: Paul Seabright; Ananya Sen;

Statistical Externalities and the Labour Market in the Digital Age

Abstract

We examine whether a reduction in the cost of applying for jobs that leads to an increase in the number of candidates applying for jobs at a firm, may make the firm worse off. We build a model where there is worker heterogeneity and firms can choose to screen workers at a cost. In equilibrium, a reduction in application costs can lower a firm's payoff by raising the number of applications from workers who, on average, are of lower quality than those who apply when application costs are high. An additional candidate can impose a negative externality on the firm by adversely affecting the statistical quality of its candidate pool. We discuss applications to the phenomenon of attention congestion through advances in digital technology.

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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!
2
Average
Average
Average
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