John P. Papay, Richard J. Murnane, John B. Willett
Students receive abundant information about their educational performance, but how this information affects future educational-investment decisions is not well understood. Increasingly common sources of information are state-mandated standardized tests. On these tests, students receive a score and a label that summarizes their performance. Using a regression-discontinuity design, we find persistent effects of earning a more positive label on the college-going decisions of urban, low-income students. Consistent with a Bayesian-updating model, these effects are concentrated among students with weaker priors, specifically those who report before taking the test that they do not plan to attend a four-year college.This paper is available as PDF (413 K) or via email.
John P. Papay, Richard J. Murnane, John B. Willett
Students receive abundant information about their educational performance, but how this information affects future educational-investment decisions is not well understood. Increasingly common sources of information are state-mandated standardized tests. On these tests, students receive a score and a label that summarizes their performance. Using a regression-discontinuity design, we find persistent effects of earning a more positive label on the college-going decisions of urban, low-income students. Consistent with a Bayesian-updating model, these effects are concentrated among students with weaker priors, specifically those who report before taking the test that they do not plan to attend a four-year college.
This paper is available as PDF (413 K) or via email.
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