Does public spending improve educational resilience? A longitudinal analysis of OECD-PISA data

Tommaso Agasisti (), Sergio Longobardi () and Andrea Regoli ()
Additional contact information
Sergio Longobardi: University of Naples Parthenope, Italy
Andrea Regoli: University of Naples Parthenope, Italy

Working papers from Società Italiana di Economia Pubblica

Abstract: “Resilient students” are those who, despite their disadvantaged background, are able to obtain good educational results. This paper proposes a statistical procedure for identifying the proportion of resilient students for countries participating to OECD Programme for International Students Assessment (PISA) various years; then, it employs a longitudinal analysis (i.e. a set of fixed-effects [FE] models) to study the determinants of this proportion. While an important stream of the literature pointed at demonstrating that educational funding is not correlated with higher average performances of students, our findings suggest that it can help disadvantaged students in overcoming their penalizing starting conditions, at least when considering the proportion of public expenditure invested in education as a share of total public spending.

Keywords: Resilient students; FE models (search for similar items in EconPapers)
JEL-codes: I21 (search for similar items in EconPapers)
Date: 2014-07
New Economics Papers: this item is included in nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.siepweb.it/siep/wp/wp-content/uploads/r ... t_al_WP_SIEP_669.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ipu:wpaper:3

Access Statistics for this paper

More papers in Working papers from Società Italiana di Economia Pubblica Società Italiana di Economia Pubblica Corso Strada Nuova 65 27100 Pavia Italia.
Bibliographic data for series maintained by Monica Bozzano ().