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dc.contributor.authorSaiz, Alberten
dc.contributor.authorSimonsohn, Urien
dc.date.accessioned2008-11-11-
dc.date.accessioned2010-07-07T11:52:34Z-
dc.date.available2010-07-07T11:52:34Z-
dc.date.issued2008-
dc.identifier.piurn:nbn:de:101:1-20081126846en
dc.identifier.urihttp://hdl.handle.net/10419/35497-
dc.description.abstractThe internet and other large textual databases contain billions of documents: is there useful information in the number of documents written about different topics? We propose, based on the premise that the occurrence of a phenomenon increases the likelihood that people write about it, that the relative frequency of documents discussing a phenomenon can be used to proxy for the corresponding occurrence-frequency. After establishing the conditions under which such proxying is likely to be successful, we construct proxies for a number of demographic variables in the US and for corruption across countries and US states and cities, obtaining average correlations with occurrence-frequencies of 0.47 and 0.61 respectively. We also replicate results from two separate published papers establishing the correlates of corruption at both the state and country level. Finally, we construct the first index of corruption in US cities and study its correlates.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x3809en
dc.subject.jelJ11en
dc.subject.ddc330en
dc.subject.keywordInterneten
dc.subject.keywordtextual databasesen
dc.subject.keyworddocument-frequencyen
dc.subject.keywordproxy variablesen
dc.subject.stwInterneten
dc.subject.stwPublikationsanalyseen
dc.subject.stwÖffentliche Meinungen
dc.subject.stwInformationen
dc.subject.stwKorruptionen
dc.subject.stwTeilstaaten
dc.subject.stwSchätzungen
dc.subject.stwUSAen
dc.titleDownloading wisdom from online crowds-
dc.type|aWorking Paperen
dc.identifier.ppn584701802en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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