Urban spatial structure, employment and social ties
Urban spatial structure, employment and social ties
Consider a model where workers from the majority and the minority group choose both their residential location (geographical space) and the intensity of their social interactions (social space). We demonstrate under which condition one group resides close to the job center while the other lives far away from it. Even though the two groups have the same characteristics and there is no discrimination in the housing or labor market, we show that the majority group can have a lower unemployment rate whenever it resides close to or far away from the workplace. This is because this group generates a larger and better-quality social network.
social interactions, segregation
77-93
Picard, Pierre
7967de35-32a6-45ae-82d9-deab9d579ea6
Zenou, Yves
38bf0c72-462b-4c08-8fd1-ce365b0296dc
March 2018
Picard, Pierre
7967de35-32a6-45ae-82d9-deab9d579ea6
Zenou, Yves
38bf0c72-462b-4c08-8fd1-ce365b0296dc
Picard, Pierre and Zenou, Yves
(2018)
Urban spatial structure, employment and social ties.
Journal of Urban Economics, 104, .
(doi:10.1016/j.jue.2018.01.004).
Abstract
Consider a model where workers from the majority and the minority group choose both their residential location (geographical space) and the intensity of their social interactions (social space). We demonstrate under which condition one group resides close to the job center while the other lives far away from it. Even though the two groups have the same characteristics and there is no discrimination in the housing or labor market, we show that the majority group can have a lower unemployment rate whenever it resides close to or far away from the workplace. This is because this group generates a larger and better-quality social network.
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Accepted/In Press date: 23 January 2018
e-pub ahead of print date: 6 February 2018
Published date: March 2018
Keywords:
social interactions, segregation
Identifiers
Local EPrints ID: 422973
URI: http://eprints.soton.ac.uk/id/eprint/422973
ISSN: 0094-1190
PURE UUID: bde37023-95f6-4a61-bd31-9ef43b33c099
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Date deposited: 08 Aug 2018 16:31
Last modified: 16 Mar 2024 04:11
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Author:
Pierre Picard
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