Social Identity and STEM Choice: Evidence from Higher Secondary Schooling in India

Anand Kumar, S. Sahoo
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引用次数: 2

Abstract

This paper investigates the role of social identity, namely gender and caste of individuals, in stream choice at the higher secondary level of schooling in India. We analyze the choice of science stream that is a crucial determinant of subsequent science, technology, engineering, and mathematics (STEM) related education and labour market outcomes. Using three rounds of nationally representative surveys between 2007 and 2018, we estimate regression models including household characteristics and fixed effects to control for region-specific unobserved heterogeneity. We find that females and individuals belonging to historically disadvantaged social groups (castes) are significantly less likely to study science. On average, female students enrolled in higher secondary education have 9 percentage points lower probability than male students to study science during the period considered for the analysis. For students belonging to the socially disadvantaged groups – Scheduled Tribes (ST), Scheduled Caste (SC), and Other Backward Classes (OBC), the likelihood of studying science is significantly lower by 6.9, 4.4, and 2.7 percentage points, respectively, than students from the less-disadvantaged groups. Using decomposition analysis, we show that the differences in the observable characteristics such as economic affluence and household head’s education significantly explain some portion of the caste-based gaps, but they do not explain the gender gap that persists even in an intra-household comparison. We also test for the intersectionality of the overlapping identities of gender and caste in this context. We find evidence of cumulative disadvantages for females of SC and OBC groups, but lower gender disparity among ST students indicating the presence of intersectionality for this group. Thus, our paper highlights social identity as an important determinant of STEM-related education that may have long-term implications for the economic welfare of disadvantaged groups.
社会认同与STEM选择:来自印度高中教育的证据
本文调查了社会身份,即个人的性别和种姓,在印度高等中学教育的流选择中的作用。我们分析了科学流的选择,这是后续科学、技术、工程和数学(STEM)相关教育和劳动力市场结果的关键决定因素。通过2007年至2018年的三轮全国代表性调查,我们估计了包括家庭特征和固定效应在内的回归模型,以控制特定区域的未观察到的异质性。我们发现,女性和历史上处于不利地位的社会群体(种姓)的个体学习科学的可能性明显较低。平均而言,在分析所考虑的期间,接受高中教育的女学生学习科学的概率比男学生低9个百分点。属于社会弱势群体的学生——表列部落(ST)、表列种姓(SC)和其他落后阶层(OBC),学习科学的可能性比弱势群体的学生分别低6.9个百分点、4.4个百分点和2.7个百分点。通过分解分析,我们发现,经济富裕程度和户主教育程度等可观察特征的差异显著地解释了部分基于种姓的差距,但它们无法解释即使在家庭内部比较中也存在的性别差距。在这种情况下,我们还测试了性别和种姓重叠身份的交叉性。我们发现SC和OBC群体的女性存在累积劣势,但ST学生的性别差异较低,表明该群体存在交叉性。因此,我们的论文强调社会认同是stem相关教育的重要决定因素,可能对弱势群体的经济福利产生长期影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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