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罗兰德·小福瑞尔于2015年荣膺有“小诺贝尔经济学奖”之称的约翰·贝茨·克拉克奖。在方法上他擅长大规模的干预研究和田野实验,其研究领域主要集中在三个方面:族际成就差异与教育政策评估、群体身份的经济学分析,歧视与反歧视的经济学机制。缩小族际成就差异的教育政策可以分为四类:学生干预、教师干预、学校与社区干预和学业与行为干预。对于每一种类型的教育政策,福瑞尔都以扎实的田野实验和精致的计量模型给予令人信服的效果评估,为教育政策的制定提供洞见和启示,例如发现对老师的金钱激励,提前给付比事后给付效果更好,改善学校质量比改善社区质量更有利于处境不利儿童的学业。福瑞尔也研究了少数族裔学生群体中的排斥“白化”现象,为身份经济学领域做出了独有贡献。对于肯定行动,一直存在这样的迷思,即认为色盲(color-blind)的肯定行动比色明(color-sighted)的肯定行动更有效。福瑞尔以数据证实,无论是比较短期效果还是长期效果,这都是一个错误观点。明确基于族群身份的优待比基于替代变量的所谓“种族中立”的优待政策更有效。
Roland Little Ferrell won the 2015 John Bates Clarke Award for “Little Nobel Prize in Economics”. Methodologically, he is good at large-scale intervention research and field experiments. His research interests mainly focus on three aspects: ethnic differences in achievement and educational policy assessment; economic analysis of group identity; and economic mechanisms of discrimination and anti-discrimination. There are four categories of education policies that narrow the differences in ethnic achievement: student intervention, teacher intervention, school and community intervention, and academic and behavioral interventions. For each type of education policy, Ferrell gives convincing results assessments with solid field experiments and sophisticated econometric models that provide insights and insights into the development of education policies, such as finding monetary incentives for teachers, ahead of schedule The benefits are better paid than afterwards, improving school quality is more conducive to learning for disadvantaged children than improving the quality of the community. Ferrell also studied the exclusion “albino” phenomenon among ethnic minority student groups and made a unique contribution to the field of identity economics. There has always been a myth that positive color-blind affirmations are more effective than color-sighted affirmative action. Forel data to confirm that, whether it is more short-term effect or long-term effect, this is a wrong perspective. Clarifying ethnic-based preferences is more effective than preferential treatment based on the so-called “race-neutral” alternative variables.