The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence
In this study, we assessed the efficiency of compulsory lower secondary education. We selected three variables that may significantly affect students’ performance in a particular country. First, we assumed that student scores achieved in PISA testing determine the number of monetary funds spent on t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/9/24/3249 |
| _version_ | 1827671288603213824 |
|---|---|
| author | Darya Dancaková Jozef Glova Alena Andrejovská |
| author_facet | Darya Dancaková Jozef Glova Alena Andrejovská |
| author_sort | Darya Dancaková |
| collection | DOAJ |
| description | In this study, we assessed the efficiency of compulsory lower secondary education. We selected three variables that may significantly affect students’ performance in a particular country. First, we assumed that student scores achieved in PISA testing determine the number of monetary funds spent on these three variables, specifically student–teacher ratio, class size, and the annual number of hours spent in school. Second, we evaluated the efficiency of education in a sample of 24 different OECD countries, comparing the students’ performance in PISA 2018. Third, we used the two-stage data envelopment analysis with a bootstrapping procedure for estimating technical efficiency scores. Finally, we applied OLS and quantile regression, where our regression estimates in both models showed a positive effect of GDP per capita on students’ achievement across countries. The positive impact of GDP per capita was significant only for the least efficient countries. Conversely, the level of impact of parental education was much stronger and more positive for the inefficient countries and proved to be negative for more efficient countries. |
| first_indexed | 2024-03-10T03:37:00Z |
| format | Article |
| id | doaj.art-41810360dc044dbdace25b6e54e3d945 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T03:37:00Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-41810360dc044dbdace25b6e54e3d9452023-11-23T09:26:23ZengMDPI AGMathematics2227-73902021-12-01924324910.3390/math9243249The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country EvidenceDarya Dancaková0Jozef Glova1Alena Andrejovská2Department of Banking and Investment, Technical University of Košice, 040 01 Košice, SlovakiaDepartment of Banking and Investment, Technical University of Košice, 040 01 Košice, SlovakiaDepartment of Finance, Technical University of Košice, 040 01 Košice, SlovakiaIn this study, we assessed the efficiency of compulsory lower secondary education. We selected three variables that may significantly affect students’ performance in a particular country. First, we assumed that student scores achieved in PISA testing determine the number of monetary funds spent on these three variables, specifically student–teacher ratio, class size, and the annual number of hours spent in school. Second, we evaluated the efficiency of education in a sample of 24 different OECD countries, comparing the students’ performance in PISA 2018. Third, we used the two-stage data envelopment analysis with a bootstrapping procedure for estimating technical efficiency scores. Finally, we applied OLS and quantile regression, where our regression estimates in both models showed a positive effect of GDP per capita on students’ achievement across countries. The positive impact of GDP per capita was significant only for the least efficient countries. Conversely, the level of impact of parental education was much stronger and more positive for the inefficient countries and proved to be negative for more efficient countries.https://www.mdpi.com/2227-7390/9/24/3249educationhuman capitaldata envelopment analysisbootstrappingquantile regressioncorrelation analysis |
| spellingShingle | Darya Dancaková Jozef Glova Alena Andrejovská The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence Mathematics education human capital data envelopment analysis bootstrapping quantile regression correlation analysis |
| title | The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence |
| title_full | The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence |
| title_fullStr | The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence |
| title_full_unstemmed | The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence |
| title_short | The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence |
| title_sort | robust efficiency estimation in lower secondary education cross country evidence |
| topic | education human capital data envelopment analysis bootstrapping quantile regression correlation analysis |
| url | https://www.mdpi.com/2227-7390/9/24/3249 |
| work_keys_str_mv | AT daryadancakova therobustefficiencyestimationinlowersecondaryeducationcrosscountryevidence AT jozefglova therobustefficiencyestimationinlowersecondaryeducationcrosscountryevidence AT alenaandrejovska therobustefficiencyestimationinlowersecondaryeducationcrosscountryevidence AT daryadancakova robustefficiencyestimationinlowersecondaryeducationcrosscountryevidence AT jozefglova robustefficiencyestimationinlowersecondaryeducationcrosscountryevidence AT alenaandrejovska robustefficiencyestimationinlowersecondaryeducationcrosscountryevidence |