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dc.contributor.authorAvanzini, Diego B.en
dc.date.accessioned2010-02-18-
dc.date.accessioned2011-04-26T07:42:43Z-
dc.date.available2011-04-26T07:42:43Z-
dc.date.issued2009-
dc.identifier.isbn978-92-9230-212-2en
dc.identifier.urihttp://hdl.handle.net/10419/45162-
dc.description.abstractExisting indicators of entrepreneurial activity (such as the Global Entrepreneurship Monitor, Entrepreneurship Barometer, FORA's Entrepreneurship Index, OECD and Economic Commission's sets of indicators, among others) and several variables that have been considered good proxies for entrepreneurship during the last decades seem to be unsuitable to capture the complex relationship among economic, social, and demographic factors driving entrepreneurial activity. In order to suggest a consistent methodology for measuring entrepreneurship, we review some of the most well-known theoretical dimensions of entrepreneurship and a selection of associated indicators is proposed. Indicators and measures are grouped under theoretical categories and a set of entrepreneurship indicators is constructed using multivariate statistical analysis (Consensus PCA based on NIPALS, with an extension of Probability PCA for dealing with missing values) for a panel of developed and developing countries.en
dc.language.isoengen
dc.publisher|aThe United Nations University World Institute for Development Economics Research (UNU-WIDER) |cHelsinkien
dc.relation.ispartofseries|aWIDER Research Paper |x2009/41en
dc.subject.jelL26en
dc.subject.jelM13en
dc.subject.jelC82en
dc.subject.ddc330en
dc.subject.keywordentrepreneurshipen
dc.subject.keywordindexen
dc.subject.keywordprincipal components analysisen
dc.subject.stwEntrepreneurship-Ansatzen
dc.subject.stwIndexen
dc.subject.stwHauptkomponentenanalyseen
dc.titleDesigning composite entrepreneurship indicators: An application using consensus PCA-
dc.typeWorking Paperen
dc.identifier.ppn601790561en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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