Missing Women in Tech: The Labor Market for Highly Skilled Software Engineers
Missing Women in Tech: The Labor Market for Highly Skilled Software Engineers
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DOI：
10.1287/mnsc.2021.4077
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发表时间：
2021-09
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影响因子：
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通讯作者：
Raviv Murciano-Goroff
中科院分区：
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作者：
Raviv Murciano-Goroff
本文研究了求职者和招聘人员在软件工程师劳动力市场上的行为。我从一个招聘平台上获得了数据，在这个平台上，个人可以自我报告他们的计算机编程技能，招聘人员可以向他们希望联系的人发送有关工作机会的信息。我增加了这个数据集的措施，每个人以前的编程经验的基础上，分析实际的计算机源代码，他们编写和共享的开源软件社区。这个新的数据集显示，候选人自我报告的技术技能是招聘人员兴趣的重要定量预测因素。与社会心理学和行为经济学研究一致，我还发现，有编程语言经验的女性程序员在简历中自我报告编程语言知识的可能性比男性程序员低11.07%。然而，尽管有公开声明，招聘人员似乎并不更倾向于招聘自我报告了解编程语言的女性候选人。事实上，预计招聘人员对女性候选人的兴趣比男性候选人低6.47%，即使这些候选人的资格非常强。最终，在简历中自我报告技能方面存在性别差距;但招聘人员似乎并没有调整他们对这些信号的反应，以增加软件工程招聘人员中女性的代表性。这篇论文被行为经济学和决策分析的陈燕接受。
This paper examines the behavior of job seekers and recruiters in the labor market for software engineers. I obtained data from a recruiting platform where individuals can self-report their computer programming skills and recruiters can message individuals they wish to contact about job opportunities. I augment this data set with measures of each individual’s previous programming experience based on analysis of actual computer source code they wrote and shared within the open-source software community. This novel data set reveals that candidates’ self-reported technical skills are quantitatively important predictors of recruiter interest. Consistent with social psychology and behavioral economics studies, I also find female programmers with previous experience in a programming language are 11.07% less likely than their male counterparts to self-report knowledge of that programming language on their resume. Despite public pronouncements, however, recruiters do not appear more inclined toward recruiting female candidates who self-report knowing programming languages. Indeed, recruiters are predicted to be 6.47% less likely to express interest in a female candidate than a male candidate with comparable observable qualifications even if those qualifications are very strong. Ultimately, a gender gap in the self-reporting of skills on resumes exists; but recruiters do not appear to be adjusting their response to such signals in ways that could increase the representation of women among software engineering recruits. This paper was accepted by Yan Chen, behavioral economics and decision analysis.