Presented By: Causal Inference in Education Research Seminar (CIERS)
Causal Inference in Education Research Seminar (CIERS): Making Information Work for Low-Income Students in College Choice: Experimental Evidence under Centralized Admissions
Xiaoyang Ye, University of Michigan
Abstract
In this paper, we provide novel evidence on the role of information in low-income students' college choices from China, where all high school graduates take the common college entrance exam and application under a centralized admissions system. We have implemented a stratified school-cluster RCT among 35,000 public high school seniors in one of the poorest provinces in China in 2016. We find substantial heterogeneities in treatment effects interacting between program designs (simple information vs. comprehensive information vs. assistance) and student characteristics. This paper suggests that low-income students' college choices can be improved at a very low cost and during a very short time period.
In this paper, we provide novel evidence on the role of information in low-income students' college choices from China, where all high school graduates take the common college entrance exam and application under a centralized admissions system. We have implemented a stratified school-cluster RCT among 35,000 public high school seniors in one of the poorest provinces in China in 2016. We find substantial heterogeneities in treatment effects interacting between program designs (simple information vs. comprehensive information vs. assistance) and student characteristics. This paper suggests that low-income students' college choices can be improved at a very low cost and during a very short time period.
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