Have you read this? An empirical comparison of the British REF peer review and the Italian VQR bibliometric algorithm
Daniele Checchi (),
Gianni De Fraja,
Irene Mazzotta and
No 13521, CEPR Discussion Papers from C.E.P.R. Discussion Papers
This paper determines the ranking of the publications units of assessment which were submitted to the UK research evaluation carried out in 2014, the REF, which would have been obtained if their submission had been evaluated with the bibliometric algorithm used by the Italian evaluation agency, ANVUR, for its evaluation of the research of Italian universities. We find very high correlation between the two methods, especially in regard to the funding allocation, with a headline figure of 0.9997 for the funding attributed to the institutions.
Keywords: Assessment of academic research; Bibliometry; incentives; Publications; University funding; University ranking (search for similar items in EconPapers)
JEL-codes: I23 I28 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-sog
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) 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 email@example.com
Working Paper: Have You Read This? An Empirical Comparison of the British REF Peer Review and the Italian VQR Bibliometric Algorithm (2019)
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:13521
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... rs/dp.php?dpno=13521
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 ().