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Big data and official data: a cointegration analysis based on Google Trends and economic indicators

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Big data and official data: a cointegration analysis based on Google Trends and economic indicators

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dc.contributor.author Crosato, Lisa es_ES
dc.contributor.author Mariani, Paolo es_ES
dc.contributor.author Marletta, Andrea es_ES
dc.contributor.author Zavanella, Biancamaria es_ES
dc.date.accessioned 2018-11-05T07:48:39Z
dc.date.available 2018-11-05T07:48:39Z
dc.date.issued 2018-09-07
dc.identifier.isbn 9788490486894
dc.identifier.uri http://hdl.handle.net/10251/111837
dc.description.abstract [EN] In this paper the relationship between the Industrial Production Index (IPI), the confidence index for the manufacturing sector and Google searches for several words linked to the economic situation is explored. In particular, time series referred to the period January 2004 - September 2016 on Italian data. An analysis of significant correlations between the selected indicators is achieved to explore the probable comovements of same. Adding one observation at a time since the first forewarning signs of the 2008 crisis, we find that a few Google searches and the IPI cointegrate, particularly during the strong downward trend leading to January 2009, while there is no cointegration between confidence indicators and the IPI. These results suggest that searches in google and the IPI or the confidence indexes are influenced by common circumstances. Finally forecasts of the IPI obtained through VECM models suggest that the evolution of the IPI can be well represented using the real time Gtrends selected variables. es_ES
dc.format.extent 7 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Web data es_ES
dc.subject Google trends es_ES
dc.subject Confidence indicators es_ES
dc.subject Cointegration 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 Big data and official data: a cointegration analysis based on Google Trends and economic indicators es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2018.2018.8364
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Crosato, L.; Mariani, P.; Marletta, A.; Zavanella, B. (2018). Big data and official data: a cointegration analysis based on Google Trends and economic indicators. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 229-235. https://doi.org/10.4995/CARMA2018.2018.8364 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Julio 12-13,2018 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8364 es_ES
dc.description.upvformatpinicio 229 es_ES
dc.description.upvformatpfin 235 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\8364 es_ES


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