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Job Categories and Geographic Identity

Authors: Ming D. Leung;

Job Categories and Geographic Identity

Abstract

Many previous explanations which explain geographic concentration of industries propose what I refer to as supply-side advantages to firms which co-locate geographically. I, instead, suggest an alternative, demand-side mechanism. I argue that in labor markets, particular types of work become associated with specific geographical locations. This association becomes a categorical stereotype – which leads buyers in markets to prefer sellers from particular geographic regions, merely because they seem more legitimate. I test this theory in an online marketplace for freelancing services – a market which should not exhibit effects of alternative, more economically based, agglomeration mechanisms. I find that the greater the association between a particular job category and a geographic location – what I term geographic identity – the more likely any freelancer from that country will win a job in that category. This effect holds net of other explanations such as experience and price.

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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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