TRANSITIONS OUT OF UNEMPLOYMENT: THE ROLE OF SOCIAL NETWORKS' TOPOLOGY AND FIRMS' RECRUITMENT STRATEGIES

Andrea Mario Lavezzi, Nicola Meccheri

Risultato della ricerca: Article

Abstract

In this paper we study the effects of job contact networks on out-of-unemployment transitions. We find that social connections produce sizable increases in upward mobility from unemployment and, caeteris paribus, symmetric network topologies perform better than asymmetric ones. Furthermore, in scale-free networks the probability of transitions out of unemployment increases in the exponent of the power-law degree distribution, but its value is much lower than the one attainable in Poisson random networks. In addition, and most interestingly, these results strongly depends on the different hypotheses on the firms' recruitment strategy.
Lingua originaleItalian
pagine (da-a)-
Numero di pagine29
RivistaMetroeconomica
Volume2010
Stato di pubblicazionePublished - 2011

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Cita questo

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title = "TRANSITIONS OUT OF UNEMPLOYMENT: THE ROLE OF SOCIAL NETWORKS' TOPOLOGY AND FIRMS' RECRUITMENT STRATEGIES",
abstract = "In this paper we study the effects of job contact networks on out-of-unemployment transitions. We find that social connections produce sizable increases in upward mobility from unemployment and, caeteris paribus, symmetric network topologies perform better than asymmetric ones. Furthermore, in scale-free networks the probability of transitions out of unemployment increases in the exponent of the power-law degree distribution, but its value is much lower than the one attainable in Poisson random networks. In addition, and most interestingly, these results strongly depends on the different hypotheses on the firms' recruitment strategy.",
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AU - Meccheri, Nicola

PY - 2011

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N2 - In this paper we study the effects of job contact networks on out-of-unemployment transitions. We find that social connections produce sizable increases in upward mobility from unemployment and, caeteris paribus, symmetric network topologies perform better than asymmetric ones. Furthermore, in scale-free networks the probability of transitions out of unemployment increases in the exponent of the power-law degree distribution, but its value is much lower than the one attainable in Poisson random networks. In addition, and most interestingly, these results strongly depends on the different hypotheses on the firms' recruitment strategy.

AB - In this paper we study the effects of job contact networks on out-of-unemployment transitions. We find that social connections produce sizable increases in upward mobility from unemployment and, caeteris paribus, symmetric network topologies perform better than asymmetric ones. Furthermore, in scale-free networks the probability of transitions out of unemployment increases in the exponent of the power-law degree distribution, but its value is much lower than the one attainable in Poisson random networks. In addition, and most interestingly, these results strongly depends on the different hypotheses on the firms' recruitment strategy.

KW - job contact networks, complex networks, network symmetry, transitions out of unemployment, rms' recruitment strategies

UR - http://hdl.handle.net/10447/44045

M3 - Article

VL - 2010

SP - -

JO - Metroeconomica

JF - Metroeconomica

SN - 0026-1386

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