Economic determinants of employment sentiment: A socio-demographic analysis for the euro area
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @TechReport{IREA202001,
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author = "Oscar Claveria and Ivana Lolic and Enric Monte and
Salvador Torra and Petar Soric",
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title = "Economic determinants of employment sentiment: A
socio-demographic analysis for the euro area",
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institution = "Research Institute of Applied Economics, University of
Barcelona",
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year = "2020",
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type = "Working Paper",
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number = "2020/01",
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address = "Spain",
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month = jan # " 28",
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keywords = "genetic algorithms, genetic programming, unemployment,
expectations, consumer behaviour, forecasting,
state-space models yield",
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URL = "https://ideas.repec.org/p/ira/wpaper/202001.html",
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URL = "http://www.ub.edu/irea/working_papers/2020/202001.pdf",
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URL = "https://ssrn.com/abstract=3526768",
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DOI = "doi:10.2139/ssrn.3526768",
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size = "29 pages",
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abstract = "In this study we construct quarterly consumer
confidence indicators of unemployment for the euro area
using as input the consumer expectations for sixteen
socio-demographic groups elicited from the Joint
Harmonised EU Consumer Survey. First, we use symbolic
regressions to link unemployment rates to qualitative
expectations about a wide range of economic variables.
By means of genetic programming we obtain the
combination of expectations that best tracks the
evolution of unemployment for each group of consumers.
Second, we test the out-of-sample forecasting
performance of the evolved expressions. Third, we use a
state-space model with time-varying parameters to
identify the main macroeconomic drivers of unemployment
confidence and to evaluate whether the strength of the
interplay between variables varies across the economic
cycle. We analyse the differences across groups,
obtaining better forecasts for respondents comprised in
the first quartile with regards to the income of the
household and respondents with at least secondary
education. We also find that the questions regarding
expected major purchases over the next 12 months and
savings at present are by far, the variables that most
frequently appear in the evolved expressions, hinting
at their predictive potential to track the evolution of
unemployment. For the economically deprived consumers,
the confidence indicator seems to evolve independently
of the macroeconomy. This finding is rather consistent
throughout the economic cycle, with the exception of
stock market returns, which governed unemployment
confidence in the pre-crisis period.",
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bibsource = "OAI-PMH server at oai.repec.org",
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description = "JEL classification: C51, C53, C55, D12, E24, E27,
J10",
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identifier = "RePEc:aqr:wpaper:202001",
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oai = "oai:RePEc:aqr:wpaper:202001",
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notes = "type = preprint",
- }
Genetic Programming entries for
Oscar Claveria Gonzalez
Ivana Lolic
Enric Monte Moreno
Salvador Torra
Petar Soric
Citations