Social networks and unemployment exit in Great Britain

Abstract

Structured AbstractPurpose: The aim of this paper is to examine the effect employed friends have on the probability of exiting unemployment of an unemployed worker according to his/her educational (skill) level. Design/Methodology: In common with studies on unemployment duration, this paper use a discrete time hazard model. Findings: The paper finds that the conditional probability of finding work is between 24% and 34% higher per period for each additional employed friend for job seekers with intermediate skills.Social Implications: These results are of interest since they suggest that the reach of national employment agencies could extend beyond individuals in direct contact with first line employment support bureaus. Originality/Value: Because of the lack of appropriate longitudinal information, the majority of empirical studies in the area assess the influence of social networks on employment status using proxy measures of social interactions. The current study contributes to the very limited empirical literature of the influence of social networks on job attainment using direct measures of social structures.

Reducing gender-based unemployment in India: the impact of social inclusion and foreign funds inflows

“…Conversely, a scarcity of scholarly literature exists to scrutinize the influence of social inclusion variables on the mitigation of unemployment. In a study for Great Britain, it was found that post-BREXIT, it was social inclusion that helped reduce unemployment (Sousounis and Lanot, 2018). Similarly, in a study of Spain, it was found across 17 Spanish communities that social inclusion helps enhance skills and abilities and supports people in getting employment (Lechuga et al , 2019).…”