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dc.contributor.author | Cebrián, Eduardo | es_ES |
dc.contributor.author | Domenech, Josep | es_ES |
dc.date.accessioned | 2023-03-07T19:00:58Z | |
dc.date.available | 2023-03-07T19:00:58Z | |
dc.date.issued | 2023 | es_ES |
dc.identifier.issn | 1350-4851 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/192408 | |
dc.description.abstract | [EN] Google Trends (GT) has become a popular data source among researchers in a wide variety of fields. In economics, its main use has been to forecast other economic variables such as tourism demand, unemployment or sales. This paper questions the quality of these data by discussing the main data quality aspects according to the literature. Our analysis evidences some non-negligible issues related to the measurement accuracy of GT, which potentially affects the results obtained with GT data and therefore the decisions made with this information. These issues are illustrated with an example in which some queries to GT are repeated on six different days. | es_ES |
dc.description.sponsorship | This work was supported by the Ministry of Finance, Industry and Competitiveness and the European Social Fund [PEJ2018-003267-A-AR]; Agencia Estatal de Investigacion [PID2019-107765RB-I00]. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Taylor & Francis | es_ES |
dc.relation.ispartof | Applied Economics Letters | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Google Trends | es_ES |
dc.subject | Data quality | es_ES |
dc.subject | Measurement error | es_ES |
dc.subject | Online data | es_ES |
dc.subject.classification | ECONOMIA APLICADA | es_ES |
dc.title | Is Google Trends a quality data source? | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1080/13504851.2021.2023088 | es_ES |
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.relation.projectID | info:eu-repo/grantAgreement/AEI//PEJ2018-003267-A-AR//AYUDA GARANTIA JUVENIL AEI. ACTUACION: INDICADORES ECONOMICOS BASADOS EN LA WEB/ | 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.description.bibliographicCitation | Cebrián, E.; Domenech, J. (2023). Is Google Trends a quality data source?. Applied Economics Letters. 30(6):811-815. https://doi.org/10.1080/13504851.2021.2023088 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1080/13504851.2021.2023088 | es_ES |
dc.description.upvformatpinicio | 811 | es_ES |
dc.description.upvformatpfin | 815 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 30 | es_ES |
dc.description.issue | 6 | es_ES |
dc.relation.pasarela | S\454055 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
upv.costeAPC | 2475 | es_ES |