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Search, Sorting, and Urban Agglomeration

Authors: Wheeler, Christopher H;

Search, Sorting, and Urban Agglomeration

Abstract

Studies have suggested that urban agglomeration enhances productivity by facilitating the firm‐worker matching process. This article develops a model that formalizes this notion and demonstrates that, when firm capital and worker skill are complementary in production, urban agglomeration will tend to generate more efficient, yet segregated matches. As a result, not only will local market size be positively associated with average productivity, it will also generate greater between‐skill‐group wage inequality and a higher expected return to skill acquisition. Recent data from the counties and metropolitan areas of the United States is consistent with each of these implications.

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Powered by OpenAIRE graph
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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!
182
Top 1%
Top 1%
Top 10%
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