Education and Referrals: Parallel Mechanisms of White and Asian Hiring Advantage in a Silicon Valley High Technology Firm

Abstract

Are White and Asian job applicants advantaged in access to professional jobs relative to Black and Latinx job applicants at the initial screening stage of the hiring process? And, are the mechanisms of advantage for White applicants different than the mechanisms for Asian applicants? In this chapter, the author proposes a theoretical framework of “parallel mechanisms” of White and Asian advantage during hiring screening – that White and Asian applicants are advantaged compared to Black and Latinx applicants, but that the mechanisms of advantage subtly differ. The author focuses specifically on mechanisms related to two important factors at the hiring interface: referrals and educational attainment. The author applies the concept of parallel mechanisms to a case study of software engineering hiring at a midsized high technology firm in Silicon Valley. The author finds that at this firm, White applicants are advantaged at initial screening relative to Black and Latinx applicants due to average racial differences in applicant characteristics – namely having a referral – as well as differences in treatment by recruiters. For Asian applicants, average racial differences in possession of elite educational credentials, as well as racial differences in recruiter treatment, explain the racial disparity in callbacks. The author discusses the implications of parallel mechanisms of advantage for racial inequality in a multiracial context, and for organizational policy meant to address racial disparities during organizational hiring processes.

Citation

Chavez, K. (2020), "Education and Referrals: Parallel Mechanisms of White and Asian Hiring Advantage in a Silicon Valley High Technology Firm", Gorman, E.H. and Vallas, S.P. (Ed.) Professional Work: Knowledge, Power and Social Inequalities (Research in the Sociology of Work, Vol. 34), Emerald Publishing Limited, Leeds, pp. 83-113. https://doi.org/10.1108/S0277-283320200000034008