Hiring Through Referrals

Galenianos, Manolis

doi:10.2139/ssrn.1802812

Cited by 51 publications

(62 citation statements)

References 36 publications

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“…This occurs for any values of the technological parameter, a, and the proportion of normal workers, m. 12 The benefit of using the search market is to obtain a better selection of workers. This is represented by the following property (see Figure 4).…”

Section: Lemmamentioning

confidence: 99%

Understanding the Role of the Public Employment Agency

Holzner

Watanabe

2016

SSRN Journal

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Using a unique vacancy dataset, we find that the Public Employment Agency (PEA) distributes workers more evenly across vacancies than the private market. We investigate the implications of having such a market place by using a directed search model, where firms can search via the PEA or the private market. Lower coordination frictions reduce wage competition and enable registered firms to pay lower wages compared to the private market. This advantage has to be traded off against the negative selection of applicants coming through the PEA. We take these theoretical predictions to the data and find strong support for them.

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Section: Lemmamentioning

confidence: 99%

Understanding the Role of the Public Employment Agency

Holzner

Watanabe

2016

SSRN Journal

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“…Bentolila et al, 2010). The degree of mismatch depends on the degree of homophily, which is the 1 Studies in which networks transmit information about the productivity of workers through referrals to current employers, or can inform workers and firms about the quality of the match, include Saloner (1985), Montgomery (1991), Simon and Warner 1992, Mortensen and Vishwanath, 1994, and more recently, Brown et al (2012, Dustmann et al (2011) andGalenianos (2014). Referrals can also mitigate moral hazard problems through co-worker monitoring, allowing firms to pay lower efficiency wages (Kugler, 2003;Dhillon et al, 2013). tendency of individuals to befriend others who are similar to themselves.…”

Section: Theoretical Framework and Related Literaturementioning

confidence: 99%

With a little help from my friends? Quality of social networks, job finding and job match quality

Cappellari

Tatsiramos

2015

European Economic Review

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This paper studies the effect of network quality on job finding and job match quality using longitudinal data and a direct measure of network quality, which is based on the employment of friendship ties. Various identification strategies provide robust evidence that a higher number of employed contacts increases the job finding rate. Network quality also increases wages for highskilled workers forming networks with non-familial contacts. Instead, for low-skilled workers, more employed familial contacts lead to a negative but not significant effect on wages. These findings reconcile previous mixed evidence of network effects on wages, indicating heterogeneity by skill level and relationship type.

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“…The vast majority of online advertised vacancies are posted on a small number of job boards: about 70% of all ads appear on nine job boards, and about 60% are posted on only five job boards. 24 It is worth mentioning some measurement issues in the HWOL data: first, the same ad can appear on multiple job boards. To avoid double-counting, a sophisticated unduplication algorithm is used by TCB that identifies unique advertised vacancies on the basis of the combination of company name, job title/description, city or state.…”

Section: Data Descriptionmentioning

confidence: 99%

“…Wages are imputed using BLS data from the Occupational Employment Statistics (OES), based on the occupation classification. 24 The five largest job boards are: CareerBuilder, Craigslist, JOBcentral, Monster, and Yahoo!HotJobs. 25 25 In the figures we also plot vacancy counts from HWOL excluding contract work, to make the series more comparable to the JOLTS measure of vacancies.…”

Section: Data Descriptionmentioning

confidence: 99%

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Mismatch Unemployment

Şahin¹,

Song²,

Topa³

et al. 2012

115

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We develop a framework where mismatch between vacancies and job seekers across sectors translates into higher unemployment by lowering the aggregate job-finding rate. We use this framework to measure the contribution of mismatch to the recent rise in U.S. unemployment by exploiting two sources of cross-sectional data on vacancies, JOLTS and HWOL, a new database covering the universe of online U.S. job advertisements. Mismatch across industries and occupations explains at most 1/3 of the total observed increase in the unemployment rate, whereas geographical mismatch plays no apparent role. The share of the rise in unemployment explained by occupational mismatch is increasing in the education level.

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Hiring Through Referrals

Cited by 51 publications

References 36 publications

Understanding the Role of the Public Employment Agency

Understanding the Role of the Public Employment Agency

With a little help from my friends? Quality of social networks, job finding and job match quality

Mismatch Unemployment

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