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Online CASE CPI

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dc.contributor.author Radzikowski, Bartosz es_ES
dc.contributor.author Śmietanka, Adam es_ES
dc.date.accessioned 2017-07-10T06:42:55Z
dc.date.available 2017-07-10T06:42:55Z
dc.date.issued 2016-10-10
dc.identifier.isbn 9788490484623
dc.identifier.uri http://hdl.handle.net/10251/84778
dc.description.abstract [EN] Online CASE CPI is an example of using Big data in public statistics. In principle, it is a consumer price index based entirely on online prices: a combination of Central Statistical Office of Poland’s methodology and online data sets. An innovative method of data collection – data scrapping – allowed us to substantially reduce a time delay between data collection and a publication of results. A short, nine-month period of data collection has not given rise to make important conclusions, hence the aims of this paper are: to discuss a general framework of measuring consumer inflation online, to present preliminary results for Poland and to highlight the strengths and weaknesses of this approach. Finally, we believe that online consumer price indices have a complementary nature to conventional inflation measurement, but it might be a serious alternative, having in mind a huge growth potential of e-commerce in coming years. es_ES
dc.format.extent 10 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject web data es_ES
dc.subject internet data es_ES
dc.subject big data es_ES
dc.subject qca es_ES
dc.subject pls es_ES
dc.subject sem es_ES
dc.subject conference es_ES
dc.title Online CASE CPI es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2016.2015.3133
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Radzikowski, B.; Śmietanka, A. (2016). Online CASE CPI. En CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics. Editorial Universitat Politècnica de València. 56-65. doi:10.4995/CARMA2016.2015.3133. es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate July 06-07,2016 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2016/paper/view/3133 es_ES
dc.description.upvformatpinicio 56 es_ES
dc.description.upvformatpfin 65 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela 3133 es_ES


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