Mostrar el registro sencillo del ítem
dc.contributor.author | Doménech i de Soria, Josep | es_ES |
dc.contributor.author | Marletta, Andrea | es_ES |
dc.date.accessioned | 2024-01-11T08:42:00Z | |
dc.date.available | 2024-01-11T08:42:00Z | |
dc.date.issued | 2023-09-22 | |
dc.identifier.isbn | 9788413960869 | |
dc.identifier.uri | http://hdl.handle.net/10251/201764 | |
dc.description.abstract | [EN] Data about consumer confidence indices are often used as a gauge of the entire economy of a country. In Italy, this information is collected by Istat and it is available at national level and at the first sub-level, the geographic area, but not at the regional level. Previous research has demonstrated that the volume of some Google searches are correlated with the consumer confidence. Since Google Trends data are available both at national and regional level, the aim of this paper is to explore they can be combined with the data offered by Istat to obtain an estimate for consumer confidence indices at the second sub-level, i.e., the regional area. To this end, a set of search topics and words have been selected as potential predictors to acquire more information about consumer confidence indices for 20 Italian regions from 2007 to 2022. The obtained regional estimates are in line with the geographic area being successful to identify the periods of economic crisis due to the 2008 financial crisis and the 2020 Covid-19 pandemic. | es_ES |
dc.description.sponsorship | This work was partially funded by MCIN/AEI/10.13039/501100011033 under grant PID2019-107765RB-I00. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Consumer confidence | es_ES |
dc.subject | Google Trends | es_ES |
dc.subject | Non-traditional data sources | es_ES |
dc.title | An estimate of the Italian Consumer Confidence Index at regional level using Google Trends data | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2023.2023.16491 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107765RB-I00/ES/HUELLA DIGITAL, COMPETITIVIDAD Y DEMOGRAFIA EMPRESARIAL/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials | es_ES |
dc.description.bibliographicCitation | Doménech I De Soria, J.; Marletta, A. (2023). An estimate of the Italian Consumer Confidence Index at regional level using Google Trends data. Editorial Universitat Politècnica de València. 63-70. https://doi.org/10.4995/CARMA2023.2023.16491 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 28-30, 2023 | es_ES |
dc.relation.conferenceplace | Sevilla, España | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16491 | es_ES |
dc.description.upvformatpinicio | 63 | es_ES |
dc.description.upvformatpfin | 70 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\16491 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |