Multiple Testing and the Distributional Effects of Accountability Incentives in Education
| Autor: | R. Vincent Pohl, Steven F. Lehrer, Kyungchul Song |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Inflation Economics and Econometrics media_common.quotation_subject 05 social sciences 01 natural sciences Outcome (game theory) Test (assessment) 010104 statistics & probability Incentive 8. Economic growth 0502 economics and business Accountability Multiple comparisons problem Econometrics Economics 0101 mathematics Statistics Probability and Uncertainty Social Sciences (miscellaneous) Report card 050205 econometrics media_common Quantile |
| Zdroj: | Journal of Business & Economic Statistics. 40:1552-1568 |
| ISSN: | 1537-2707 0735-0015 |
| DOI: | 10.1080/07350015.2021.1941055 |
| Popis: | Economic theory that underlies many empirical microeconomic applications predicts that treatment responses depend on individuals’ characteristics and location on the outcome distribution. Using data from a large-scale Pakistani school report card experiment, we consider tests for treatment effect heterogeneity that make corrections for multiple testing to avoid an overestimation of positive treatment effects. These tests uncover evidence of policy-relevant heterogeneous effects from information provision on child test scores. Further, our analysis reinforces the importance of preventing the inflation of false positive conclusions since over 65% of the estimated statistically significant quantile treatment effects become insignificant once these corrections are applied. |
| Databáze: | OpenAIRE |
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