Mason Archival Repository Service

Coupled Dynamics of Labor and Firms through Complex Networks

Show simple item record

dc.contributor.advisor Axtell, Robert L.
dc.contributor.author Guerrero, Omar A.
dc.creator Guerrero, Omar A.
dc.date 2013-08
dc.date.accessioned 2013-08-20T15:47:19Z
dc.date.available 2018-09-01T06:35:21Z
dc.date.issued 2013-08-20
dc.identifier.uri https://hdl.handle.net/1920/8377
dc.description.abstract This dissertation bridges the gap between labor and firm dynamics through the study of complex networks in labor markets. With extensive use of large-scale employer-employee matched micro-data and agent-based modeling, we tap into the effects that networked structures (between individuals or between firms) exert in labor outcomes and employment dynamics. Some of the contributions of this work are: (i) the first characterization of a network of firms for an entire economy (connected through labor flows, i.e. labor flow networks); (ii) the study of the relationship between labor flow networks and employment dynamics; (iii) agent-based models that generate rich stylized facts about labor, firm, and social dynamics from microeconomic behavior; (iv) providing the microeconomic foundations of the formation process of labor flow networks by coupling job search models with models about the formation of complex networks. We show that the study of labor dynamics can be enriched by coupling firm dynamics. Using agent-based modeling is a natural way to deal with the heterogeneous experiences of workers and firms while maintaining a simple representation of the labor market. Despite their simplicity these models are grounded on empirical evidence obtained from large-scale micro-data and are capable of generating numerous stylized facts simultaneously. This approach has great potential for the design and evaluation of labor policies. Therefore, governments, regulators, and policy-makers would be greatly benefited from collecting large-scale labor micro-data, analyzing labor flow networks, and developing agent-based models of labor markets.
dc.language.iso en_US en_US
dc.rights Copyright 2013 Omar A. Guerrero en_US
dc.subject labor flows en_US
dc.subject labor networks en_US
dc.subject agent-based en_US
dc.subject complex networks en_US
dc.subject firm dynamics en_US
dc.subject labor dynamics en_US
dc.title Coupled Dynamics of Labor and Firms through Complex Networks en_US
dc.type Dissertation en
dc.description.note This work is embargoed by the author and will not be available until September 2018. en_US
thesis.degree.name PhD in Computational Social Science en_US
thesis.degree.level Doctoral en
thesis.degree.discipline Computational Social Science en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

  • Krasnow Institute for Advanced Study
    Seeking to understand the human mind: how it came to be, how it relates to the electrochemical activities of networks of nerve cells in the brain, how it can be modeled on computers, and how it is a vital component of what we are.

Show simple item record

Search MARS


Browse

My Account

Statistics