Local governments’ efficiency and educational results: empirical evidence from Italian primary schools
Francesco Porcelli and
MPRA Paper from University Library of Munich, Germany
In Italy, the provision of educational ancillary services (like meals and school transportation) is in charge of the municipalities. We investigate whether municipalities differ in their efficiency when providing these services and whether such heterogeneity explains some portion of the variability observed in pupils’ test scores. The paper is the first application of a nonparametric order-m model and a two-stage multilevel regression to a unique administrative dataset, made of the entire population of Italian pupils tested in reading and mathematics at grade 5 (academic years 2012/2013 and 2014/2015). Results demonstrate that local governments have different efficiency levels in providing services to schools. The test scores’ variability among pupils, however, is not explained by different efficiency levels of local government in producing ancillary services.
Keywords: ancillary services; order-m; multilevel modelling; efficiency (search for similar items in EconPapers)
JEL-codes: H52 I21 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eff, nep-eur, nep-ore and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/100260/1/MPRA_paper_100260.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/101329/8/MPRA_paper_101329.pdf revised version (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:100260
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().