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Great Expectatrics: Great Papers, Great Journals, Great Econometrics

dc.contributor.authorChang, Chia-Lin
dc.contributor.authorMcAleer, Michael
dc.contributor.authorOxley, Les
dc.date.accessioned2023-06-20T09:13:10Z
dc.date.available2023-06-20T09:13:10Z
dc.date.issued2011-05
dc.descriptionThe authors wish to thank Dennis Fok, Philip Hans Franses, Essie Maasoumi, Jan Magnus, and two referees for very helpful comments, suggestions and discussions.
dc.description.abstractThe paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). Some analysis and comparisons are also made with data from the SciVerse Scopus database. The various RAM that are calculated annually or updated daily are defined and analysed, including the classic 2-year impact factor (2YIF), 2YIF without journal self citations (2YIF*), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Impact Factor Inflation (IFI), Self-citation Threshold Approval Rating (STAR), Eigenfactor score, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, and PI-BETA (Papers Ignored - By Even The Authors). The RAM are analysed for 10 leading econometrics journals and 4 leading statistics journals. The application to econometrics can be used as a template for other areas in economics, for other scientific disciplines, and as a benchmark for newer journals in a range of disciplines. In addition to evaluating high quality research in leading econometrics journals, the paper also compares econometrics and statistics, alternative RAM, highlights the similarities and differences of the alternative RAM, finds that several RAM capture similar performance characteristics for the leading econometrics and statistics journals, while the new PI-BETA criterion is not highly correlated with any of the other RAM, and hence conveys additional information regarding RAM, highlights major research areas in leading journals in econometrics, and discusses some likely future uses of RAM, and shows that the harmonic mean of 13 RAM provides more robust journal rankings than relying solely on 2YIF.
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.facultyInstituto Complutense de Análisis Económico (ICAE)
dc.description.refereedFALSE
dc.description.sponsorshipthe National Science Council, Taiwan
dc.description.sponsorshipthe Australian Research Council
dc.description.sponsorshipJapan Society for the Promotion of Science
dc.description.sponsorshipRoyal Society of New Zealand, Marsden Fund.
dc.description.statusunpub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/12732
dc.identifier.relatedurlhttps://www.ucm.es/icae
dc.identifier.urihttps://hdl.handle.net/20.500.14352/49002
dc.issue.number14
dc.language.isoeng
dc.page.total53
dc.relation.ispartofseriesDocumentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
dc.rightsAtribución-NoComercial 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.jelC43
dc.subject.jelC10
dc.subject.jelZ0
dc.subject.keywordResearch assessment measures
dc.subject.keywordimpact factors
dc.subject.keywordImmediacy
dc.subject.keywordEigenfactor
dc.subject.keywordArticle influence
dc.subject.keywordCited article influence
dc.subject.keywordh-index
dc.subject.keywordC3PO
dc.subject.keywordZinfluence
dc.subject.keywordPI-BETA
dc.subject.keywordIFI
dc.subject.keywordSTAR.
dc.subject.ucmBases de datos (Biblioteconomía y Documentación)
dc.subject.ucmEconometría (Economía)
dc.subject.ucmRecuperación de la información
dc.subject.unesco1203.12 Bancos de Datos
dc.subject.unesco5302 Econometría
dc.titleGreat Expectatrics: Great Papers, Great Journals, Great Econometrics
dc.typetechnical report
dc.volume.number2011
dcterms.referencesBergstrom C. (2007), Eigenfactor: Measuring the value and prestige of scholarly journals, C&RL News, 68, 314-316. Bergstrom, C.T. and. West (2008), Assessing citations with the Eigenfactor™ metrics, Neurology, 71, 1850–1851. Bergstrom, C.T., J.D. West and M.A. Wiseman (2008), The Eigenfactor™ metrics, Journal of Neuroscience, 28 (45), 11433–11434. Chang, C.-L., M. McAleer and L. Oxley L. (2011), What makes a great journal great in economics? The singer not the song, Journal of Economic Surveys, 25(2), 326-361. Fersht, A. (2009), The most influential journals: Impact factor and Eigenfactor, Proceedings of the National Academy of Sciences of the United States of America, 106 (17), 6883-6884. Franceschet, M. (2010), Journal influence factors, Journal of Informetrics, 4, 239-248. Hirsch, J.E. (2005), An index to quantify an individual‟s scientific research output, Proceedings of the National Academy of Sciences of the United States of America (PNAS), 102 (46), 16569–16572 (15 November 2005). ISI Web of Science (2010), Journal Citation Reports, Essential Science Indicators, Thomson Reuters ISI. SciVerse Scopus (2010) Content Coverage Guide, SciVerse Scopus. Seglen, P.O. (1997), Why the impact factor of journals should not be used for evaluating research, BMJ: British Medical Journal, 314 (7079), 498-502.
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