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Unemployment expectations: A socio-demographic analysis of the effect of news
dc.contributor.author | Soric, Petar |
dc.contributor.author | Lolic, Ivana |
dc.contributor.author | Claveria González, Oscar |
dc.contributor.author | Monte Moreno, Enrique |
dc.contributor.author | Torra Porras, Salvador |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2019-06-21T16:13:15Z |
dc.date.available | 2021-06-05T00:29:44Z |
dc.date.issued | 2019-10-01 |
dc.identifier.citation | Soric, P. [et al.]. Unemployment expectations: A socio-demographic analysis of the effect of news. "Labour economics", 1 Octubre 2019, vol. 60, p. 64-74. |
dc.identifier.issn | 0927-5371 |
dc.identifier.uri | http://hdl.handle.net/2117/134944 |
dc.description | © <2019>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.description.abstract | In this study, we evaluate the effect of news on consumer unemployment expectations for sixteen socio-demographic groups. To this end, we construct an unemployment sentiment indicator and extract news about several economic variables. By means of genetic programming we estimate symbolic regressions that link unemployment rates in the Euro Area to qualitative expectations about a wide range of economic variables. We then use the evolved expressions to compute unemployment expectations for each consumer group. We first assess the out-of-sample forecast accuracy of the evolved indicators, obtaining better forecasts for the leading unemployment sentiment indicator than for the coincident one. Results are similar across the different socio-demographic groups. The best forecast results are obtained for respondents between 30 and 49 years. The group where we observe the bigger differences among categories is the occupation, where the lowest forecast errors are obtained for the unemployed respondents. Next, we link news about inflation, industrial production, and stock markets to unemployment expectations. With this aim we match positive and negative news with consumers’ unemployment sentiment using a distributed lag regression model for each news item. We find asymmetries in the responses of consumers’ unemployment expectations to economic news: they tend to be stronger in the case of negative news, especially in the case of inflation. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Programació |
dc.subject.lcsh | Genetic programming (Computer science) |
dc.subject.other | Unemployment |
dc.subject.other | Expectations |
dc.subject.other | News |
dc.subject.other | Consumer behaviour |
dc.subject.other | Forecasting |
dc.subject.other | Genetic programming |
dc.title | Unemployment expectations: A socio-demographic analysis of the effect of news |
dc.type | Article |
dc.subject.lemac | Programació genètica (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.1016/j.labeco.2019.06.002 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0927537119300582 |
dc.rights.access | Open Access |
local.identifier.drac | 25184311 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/ECO2016-75805-R |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TEC2015-69266-P/ES/TECNOLOGIAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ Y AUDIO/ |
local.citation.author | Soric, P.; Lolic, I.; Claveria, O.; Monte, E.; Torra Porras, Salvador |
local.citation.publicationName | Labour economics |
local.citation.volume | 60 |
local.citation.startingPage | 64 |
local.citation.endingPage | 74 |
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