To access the full text documents, please follow this link: http://hdl.handle.net/2445/176873
| dc.contributor.author | Arenas Jal, Andreu |
|---|---|
| dc.contributor.author | Calsamiglia, Caterina |
| dc.contributor.author | Loviglio, Annalisa |
| dc.date | 2021-04-29T05:41:51Z |
| dc.date | 2021-04-29T05:41:51Z |
| dc.date | 2021 |
| dc.identifier | http://hdl.handle.net/2445/176873 |
| dc.identifier.uri | http://hdl.handle.net/2445/176873 |
| dc.description | The outbreak of COVID-19 in 2020 inhibited face-to-face education and constrained exam taking. In many countries worldwide, high-stakes exams happening at the end of the school year determine college admissions. This paper investigates the impact of using historical data of school and high-stakes exams results to train a model to predict high-stakes exams given the available data in the Spring. The most transparent and accurate model turns out to be a linear regression model with high school GPA as the main predictor. Further analysis of the predictions reflect how high-stakes exams relate to GPA in high school for different subgroups in the population. Predicted scores slightly advantage females and low SES individuals, who perform relatively worse in high-stakes exams than in high school. Our preferred model accounts for about 50% of the out-of-sample variation in the high-stakes exam. On average, the student rank using predicted scores differs from the actual rank by almost 17 percentiles. This suggests that either high-stakes exams capture individual skills that are not measured by high school grades or that high-stakes exams are a noisy measure of the same skill. |
| dc.format | 50 p. |
| dc.format | application/pdf |
| dc.language | eng |
| dc.publisher | Institut d’Economia de Barcelona |
| dc.relation | Reproducció del document publicat a: https://ieb.ub.edu/wp-content/uploads/2021/04/Doc2021-04.pdf |
| dc.relation | IEB Working Paper 2021/04 |
| dc.relation | [WP E-IEB21/04] |
| dc.rights | cc-by-nc-nd, (c) Arenas Jal et al., 2021 |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.rights | info:eu-repo/semantics/openAccess |
| dc.subject | COVID-19 |
| dc.subject | Avaluació dels estudiants |
| dc.subject | Anàlisi de regressió |
| dc.subject | COVID-19 |
| dc.subject | Rating of students |
| dc.subject | Regression analysis |
| dc.title | What is a stake without high-stakes exams? Students’ evaluation and admission to college at the time of Covid-19 |
| dc.type | info:eu-repo/semantics/workingPaper |
Related documents
Other documents of the same author
Calsamiglia, Caterina; Loviglio, Annalisa
Calsamiglia, Caterina; Haeringer, Guillaume; Klijn, Flip; Universitat Autònoma de Barcelona. Unitat de Fonaments de l'Anàlisi Econòmica; Institut d'Anàlisi Econòmica
Calsamiglia, Caterina; Miralles, Antonio; Barcelona Graduate School of Economics
Calsamiglia, Caterina; Franke, Jörg; Rey-Biel, Pedro