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Employment Growth through Labor Flow Networks

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dc.contributor.author Guerrero, Omar A.
dc.contributor.author Axtell, Robert L.
dc.date.accessioned 2015-10-29T15:49:06Z
dc.date.available 2015-10-29T15:49:06Z
dc.date.issued 2013-05-02
dc.identifier.citation Guerrero OA, Axtell RL (2013) Employment Growth through Labor Flow Networks. PLoS ONE 8(5): e60808. en_US
dc.identifier.uri http://hdl.handle.net/1920/9993
dc.description.abstract It is conventional in labor economics to treat all workers who are seeking new jobs as belonging to a labor pool, and all firms that have job vacancies as an employer pool, and then match workers to jobs. Here we develop a new approach to study labor and firm dynamics. By combining the emerging science of networks with newly available employment micro-data, comprehensive at the level of whole countries, we are able to broadly characterize the process through which workers move between firms. Specifically, for each firm in an economy as a node in a graph, we draw edges between firms if a worker has migrated between them, possibly with a spell of unemployment in between. An economy's overall graph of firm-worker interactions is an object we call the labor flow network (LFN). This is the first study that characterizes a LFN for an entire economy. We explore the properties of this network, including its topology, its community structure, and its relationship to economic variables. It is shown that LFNs can be useful in identifying firms with high growth potential. We relate LFNs to other notions of high performance firms. Specifically, it is shown that fewer than 10% of firms account for nearly 90% of all employment growth. We conclude with a model in which empirically-salient LFNs emerge from the interaction of heterogeneous adaptive agents in a decentralized labor market. en_US
dc.description.sponsorship Publication of this article was funded in part by the George Mason University Libraries Open Access Publishing Fund. en_US
dc.language.iso en_US en_US
dc.publisher Public Library of Science en_US
dc.rights Attribution 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/us/ *
dc.subject employment en_US
dc.subject labor economics en_US
dc.subject agent-based modeling en_US
dc.subject Finland en_US
dc.subject jobs en_US
dc.subject Mexico en_US
dc.subject economics en_US
dc.subject graphs en_US
dc.title Employment Growth through Labor Flow Networks en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0060808


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