Master Thesis Online
Does public spending on education improves educational outcome: A Panel Data Analysis
De Oliveira Simoes, Michel 
Promotor(s) :
Jacqmin, Julien
Date of defense : 21-Aug-2017 • Permalink : http://hdl.handle.net/2268.2/3596
Details
| Title : | Does public spending on education improves educational outcome: A Panel Data Analysis |
| Translated title : | [fr] Les dépenses publiques dans l'éducation améliorent-elles les résultats scolaires: Analyse de données par panel |
| Author : | De Oliveira Simoes, Michel
|
| Date of defense : | 21-Aug-2017 |
| Advisor(s) : | Jacqmin, Julien
|
| Committee's member(s) : | Lejeune, Bernard
Denomerenge, Jonathan
|
| Language : | English |
| Number of pages : | 25 |
| Keywords : | [en] Education [en] Spending [en] Pisa [en] Panel [en] Government [fr] Education [fr] Dépenses [fr] Etat |
| Discipline(s) : | Business & economic sciences > Social economics Business & economic sciences > Special economic topics (health, labor, transportation...) |
| Target public : | Researchers Professionals of domain Student |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en sciences économiques,orientation générale, à finalité spécialisée en Economics and Finance |
| Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[fr] This paper aims at showing how government expenditure on education impacts
educational outcome by using up to date panel data for the 28 countries of the
European Union from 2000 to 2015. A big importance was given to both, short- and
long-run impact of public spending in improving educational outcomes.
The statistical results indicate that, the direct impact of public expenditure on
educational results is negative but there may be a threshold up to which the relation
between public spending and educational outcome, here proxied by the PISA scores,
show a positive relationship. In the long run a positive and significant coefficient was
found after 9 years.
File(s)
Document(s)
Thesis.pdf
Description: Master Thesis Main file
Size: 472.51 kB
Format: Adobe PDF
Annexe(s)
Data.xlsx
Description: Inicial Data Base
Size: 222.94 kB
Format: Microsoft Excel XML
Do.txt
Description: Do file with steps and main regressions
Size: 6.01 kB
Format: Text
Cite this master thesis
All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.