Quantifying the effects of job matching through social networks



Document title: Quantifying the effects of job matching through social networks
Journal: Journal of applied economics
Database: CLASE
System number: 000399381
ISSN: 1667-6726
Authors: 1
Institutions: 1Washington College, Department of Economics, Washington, Distrito de Columbia. Estados Unidos de América
Year:
Season: May
Volumen: 14
Number: 1
Pages: 35-59
Country: Argentina
Language: Inglés
Document type: Artículo
Approach: Aplicado
English abstract The recent literature explains the theoretical implications of the matching of workers to jobs through social networks. These insights are obtained for extremely simplified economies or rely on unrealistically simple social networks. Therefore, it is difficult to obtain a sense for the quantitative importance of effects generated by real life social networks. In this paper, I augment a labor market matching model to allow for information transmission through social networks. I illustrate the effects of social networks and I use simulations to quantify the predictions of the model for complex and realistic social networks. Information transmission through social contacts reduces the steady state unemployment rate from a hypothetical 6.5% to 5%. Social referrals can explain 1/5th of the observed duration dependence of unemployment. They cannot explain much of the variation in wages of otherwise homogeneous workers and do not substantially influence aggregate outcomes over the business cycle
Disciplines: Economía,
Ciencias de la computación,
Sociología
Keyword: Econometría,
Economía del trabajo,
Redes,
Problemas sociales,
Búsqueda de empleo,
Redes sociales,
Empleo
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