The Returns from Reducing Corruption: Evidence from Education in Uganda
Ritva Reinikka () and
No 6363, CEPR Discussion Papers from C.E.P.R. Discussion Papers
What is the most effective way to increase primary school enrolment and student learning? We argue that innovations in governance of social services may yield the highest return since social service delivery in developing countries is often plagued by inefficiencies and corruption. We examine this hypothesis by exploiting an unusual policy experiment: A newspaper campaign in Uganda aimed at reducing capture of public funds by providing schools (parents) with information to monitor local officials' handling of a large education grant program. Combining survey and administrative data, we show that the campaign was successful, and the reduction in capture of funds had a positive effect on enrolment and student learning.
Keywords: Corruption; Education; Newspaper campaign (search for similar items in EconPapers)
JEL-codes: D73 I22 O12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-afr, nep-dev, nep-edu and nep-hrm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at firstname.lastname@example.org
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:cpr:ceprdp:6363
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... ers/dp.php?dpno=6363
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().