scholarly journals Social Networks and Wages in Senegal's Labor Market

2012 ◽  
Author(s):  
Nicoletta Berardi
Keyword(s):  
Social Networks ◽  
Labor Market

scholarly journals Race and Networks in the Job Search Process

2019 ◽  
Vol 84 (6) ◽  
pp. 983-1012 ◽  
Author(s):  
David S. Pedulla ◽  
Devah Pager
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
African Americans ◽  
Racial Disparities ◽  
Job Search ◽  
Search Process ◽  
Job Seekers ◽  
Employment Opportunities ◽  
Black And White ◽  
Job Offers

Racial disparities persist throughout the employment process, with African Americans experiencing significant barriers compared to whites. This article advances the understanding of racial labor market stratification by bringing new theoretical insights and original data to bear on the ways social networks shape racial disparities in employment opportunities. We develop and articulate two pathways through which networks may perpetuate racial inequality in the labor market: network access and network returns. In the first case, African American job seekers may receive fewer job leads through their social networks than white job seekers, limiting their access to employment opportunities. In the second case, black and white job seekers may utilize their social networks at similar rates, but their networks may differ in effectiveness. Our data, with detailed information about both job applications and job offers, provide the unique ability to adjudicate between these processes. We find evidence that black and white job seekers utilize their networks at similar rates, but network-based methods are less likely to lead to job offers for African Americans. We then theoretically develop and empirically test two mechanisms that may explain these differential returns: network placement and network mobilization. We conclude by discussing the implications of these findings for scholarship on racial stratification and social networks in the job search process.

Social Networks and Behavior in the Labor Market

2006 ◽  
Vol 45 (3) ◽  
pp. 21-42
Author(s):  
I. N. Tartakovskaia
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
And Behavior

Integration of Vietnamese Refugees into the Norwegian Labor Market: The Impact of War Trauma

1993 ◽  
Vol 27 (2) ◽  
pp. 388-405 ◽  
Author(s):  
Edvard Hauff ◽  
Per Vaglum
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Labor Market ◽  
Career Choice ◽  
Labor Force ◽  
Formal Education ◽  
War Trauma ◽  
Vietnamese Refugees ◽  
Job Finding ◽  
The Impact

One hundred forty-five Vietnamese boat refugees were interviewed on arrival and after three years in Norway. The integration into the labor market was poor and the rate of unemployment was relatively high (16%). Eighty-two (63%) were members of the labor force, the rest being students (n=41) or housewives (n=6). Both loss of social status in Vietnam in 1975 and experiences of war trauma were independently related to labor force participation, when age, sex and mental health were controlled for. The risk of unemployment was increased among men and among refugees with low formal education and with no accompanying spouse. The results indicate that war trauma may have an impact on career choice and integration into the labor market which is independent of mental health. Future immigration policies should probably improve the refugees’ opportunities to establish intraethnic social networks to facilitate job finding and entrepreneurship.

Network-Based Job Search

2012 ◽  
Vol 41 (4) ◽  
Author(s):  
Gerhard Krug ◽  
Martina Rebien
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
Theoretical Model ◽  
Propensity Score ◽  
Information Flow ◽  
Job Search ◽  
Unobserved Heterogeneity ◽  
Labor Market Outcomes ◽  
Causal Effects ◽  
Market Outcomes

SummaryUsing a search-theoretical model proposed by Montgomery (1992), we analyze the effects of information flow via social networks (friends, relatives, and other personal contacts) on monetary and non-monetary labor market outcomes. Propensity score matching on survey data from low-status unemployed respondents is used to identify causal effects. The analysis takes into account unobserved heterogeneity by applying Rosenbaum bounds. We show that the standard approach to investigating labor market outcomes in terms of how jobs are found is misleading. As an alternative, we propose focusing comparative analyses of labor market outcomes on how individuals search for jobs and, more particularly, on whether they search for jobs via social networks. Using this approach we find no evidence for causal effects on monetary outcomes such as wages and wage satisfaction. We also find no effects for non-monetary outcomes like job satisfaction.

scholarly journals Party on: The Labor Market Returns to Social Networks and Socializing

2020 ◽  
Author(s):  
Adriana Lleras-Muney ◽  
Matthew Miller ◽  
Shuyang Sheng ◽  
Veronica Sovero
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
Market Returns ◽  
Labor Market Returns

scholarly journals Network explanations of the gender gap in migrants’ employment patterns: Use of online and offline networks in the Netherlands

2021 ◽  
Author(s):  
Başak Bilecen ◽  
Verena Seibel
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
The Netherlands ◽  
Gender Gap ◽  
Personal Networks ◽  
Labor Market Participation ◽  
Market Participation ◽  
Logistic Regression Models ◽  
Employment Patterns ◽  
Female Migrants

Objective: We investigate the relation between having online and offline personal networks and employment for male and female migrants in the Netherlands. Background: Previous research diagnoses an alarming gender gap for migrants in their employment patterns. Although social networks are identified as being crucial for migrants’ labor market participation, we know very little about how migrant men and women differ in their social networks and how these differences translate into varying employment opportunities. Method: Drawing on the Dutch Immigrant Panel of LISS (Longitudinal Internet Studies for the Social Sciences) dataset, we examined migrants’ employment patters who have arrived to the Netherlands under different migration streams by conducting logistic regression models. Results: We identify two major findings. While contrary to our expectations, migrant women tend to be connected with those who are employed and with a Dutch background, less connected to men and have a rather dense network structure. Nonetheless, women’s personal networks do not significantly account for their unemployment, but rather their less use of LinkedIn than migrant men. Conclusion: Our findings have implications in understanding network inequalities for female migrants in their labor market participation.

scholarly journals Party On: The Labor Market Returns to Social Networks and Socializing

2020 ◽  
Author(s):  
Adriana Lleras-Muney ◽  
Matthew Miller ◽  
Shuyang Sheng ◽  
Veronica Sovero
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
Market Returns ◽  
Labor Market Returns
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