Frictional unemployment on labor flow networks

被引:14
|
作者
Axtell, Robert L. [1 ,2 ]
Guerrero, Omar A. [3 ,4 ,5 ]
Lopez, Eduardo [2 ]
机构
[1] George Mason Univ, Dept Computat & Data Sci, Fairfax, VA 22030 USA
[2] Santa Fe Inst, Santa Fe, NM 87501 USA
[3] UCL, Dept Econ, London, England
[4] Alan Turing Inst, London, England
[5] Aalto Univ, Dept Comp Sci, Espoo, Finland
关键词
Labor flows; Networks; Unemployment; Aggregation; Job search; SOCIAL NETWORKS; JOB INFORMATION; EMPLOYER SIZE; SEARCH; EQUILIBRIUM; MARKET; FIRMS; MODEL;
D O I
10.1016/j.jebo.2019.02.028
中图分类号
F [经济];
学科分类号
02 ;
摘要
We develop an alternative theory to the aggregate matching function in which workers search for jobs through a network of firms: the labor flow network. The lack of an edge between two companies indicates the impossibility of labor flows between them due to high frictions. In equilibrium, firms' hiring behavior correlates through the network, generating highly disaggregated local unemployment. Hence, aggregation depends on the topology of the network in non-trivial ways. This theory provides new micro-foundations for the Beveridge curve, wage dispersion, and the employer-size premium. We apply our model to employer-employee matched records and find that network topologies with Pareto-distributed connections cause disproportionately large changes on aggregate unemployment under high labor supply elasticity. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:184 / 201
页数:18
相关论文
共 50 条