Abstract
Previous studies have found a negative effect on average student performance on standardised tests following the Covid-19 crisis. However, the effects might differ depending on the student’s position in the achievement distribution. Understanding distributional effects allows us to determine how to better direct resources to students most affected. Using a quantile treatment effects model, we estimate the effects of Covid-19 on academic performance of students in the Colombian standardised high school exit examination. Our estimates show a U-shaped pattern: the negative effect is smaller for students located at the tails of the test score distribution.
Original language | English |
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Journal | Education Economics |
DOIs | |
State | Accepted/In press - 2024 |
Keywords
- academic achievement
- C210
- COVID-19
- distributional effects
- I24
- I25
- instruction modes
- quantile regression
- treatment effects model