On the optimal diversification of social networks in frictional labour markets with occupational mismatch
On the optimal diversification of social networks in frictional labour markets with occupational mismatch
复制标题
职业不匹配摩擦劳动力市场中社会网络的最优多元化
DOI:
10.1016/j.labeco.2017.04.002
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发表时间:
2018
期刊:
影响因子:
2.4
通讯作者:
Zaharieva A.
中科院分区:
文献类型:
--
作者:
Zaharieva A.
This paper incorporates social networks into a frictional labour market framework. There are two worker types and two occupations, which are subject to correlated fluctuations in output. The equilibrium is characterized by occupational mismatch which is associated with a wage penalty. Every worker has a fixed number of social contacts in the network. The fraction of contacts of the same occupational type defines homophily of the social network, so this paper investigates the optimal level of network homophily. Workers are risk-neutral and take aggregate variables as given, so their optimal individual choice is full homophily. This is different from the social planner's perspective. The planner internalizes external effects of workers' network choices on aggregate variables, so there exists a unique interior value of network homophily maximizing the present value of income. On the one hand, higher homophily is associated with lower occupational mismatch. But on the other hand, higher homophily separates the two groups of workers, prevents exchange of information about open vacancies, and leads to more unemployment, especially in recessions. So it is the trade-off between these two effects and not the desire to reduce income volatility, as in standard portfolio theory, which gives rise to network diversification. Comparative statics shows that optimal network homophily is lower and diversification is stronger with a lower wage penalty from mismatch, lower unemployment benefit and negative correlation in output fluctuations.
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DOI:
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发表时间:
2003
期刊:
影响因子:
--
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DOI:
10.2139/ssrn.1802812
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期刊:
ERN: Search
影响因子:
--
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M. Galenianos
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M. Galenianos
DOI:
--
发表时间:
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期刊:
影响因子:
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John M Robst
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John M Robst
DOI:
--
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期刊:
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Gergely Horváth
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Gergely Horváth
DOI:
--
发表时间:
2001
期刊:
Social Science Research Network
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--
作者:
J. Addison;P. Portugal
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