Quantifying the effects of job matching through social networks



Título del documento: Quantifying the effects of job matching through social networks
Revista: Journal of applied economics
Base de datos: CLASE
Número de sistema: 000399381
ISSN: 1667-6726
Autors: 1
Institucions: 1Washington College, Department of Economics, Washington, Distrito de Columbia. Estados Unidos de América
Any:
Període: May
Volum: 14
Número: 1
Paginació: 35-59
País: Argentina
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado
Resumen en inglés 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
Paraules clau: Econometría,
Economía del trabajo,
Redes,
Problemas sociales,
Búsqueda de empleo,
Redes sociales,
Empleo
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