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Unemployment expectations: A socio-demographic analysis of the effect of news

Author
Soric, P.; Lolic, I.; Claveria, O.; Monte, E.; Torra Porras, Salvador
Type of activity
Journal article
Journal
Labour economics
Date of publication
2019-10-01
Volume
60
First page
64
Last page
74
DOI
10.1016/j.labeco.2019.06.002
Project funding
Deep learning technologies for speech and audio processing
Repository
http://hdl.handle.net/2117/134944 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0927537119300582 Open in new window
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 co...
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.
Keywords
Consumer behaviour, Expectations, Forecasting, Genetic programming, News, Unemployment
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

  • Soric, Petar  (author)
  • Lolic, Ivana  (author)
  • Claveria González, Oscar  (author)
  • Monte Moreno, Enrique  (author)
  • Torra Porras, Salvador  (author)