Artikel

Aggregate matching in Spain: Time series analysis using cointegration techniques

I analyze the matching process in the Spanish labor market from 1994-2005. I use monthly registered unemployment data and refer solely to public employment intermediation. This period reflects an upward movement along a downward sloping Beveridge curve; therefore, major changes in the process efficiency should not be observed. I narrow the considerations to a job queuing model, which is the most relevant description of the labor market matching process in Spain, according to the literature. I apply various quantitative methods to address the problem of non-stationary data. The Engle-Granger estimates emphasize the crucial role of the demand in generating the outflows from unemployment to employment. The ECT coefficient confirms that the model efficiently approaches the new equilibrium. These findings confirm that job seekers find themselves on the disadvantaged side of the market and compete for scarce job offers, which, in turn, are ascribed randomly to the workers. The diagnostic tests of the VAR models question the relevance of a multivariate space analysis because the outflow from unemployment to employment appears to be the sole endogenous variable.

Sprache
Englisch

Erschienen in
Journal: Contemporary Economics ; ISSN: 2084-0845 ; Volume: 10 ; Year: 2016 ; Issue: 1 ; Pages: 5-12 ; Warsaw: Vizja Press & IT

Klassifikation
Wirtschaft
Labor Turnover; Vacancies; Layoffs
Unemployment: Models, Duration, Incidence, and Job Search
Thema
labor market matching
job queuing model
time series analysis
Spanish labor market

Ereignis
Geistige Schöpfung
(wer)
Gałecka-Burdziak, Ewa
Ereignis
Veröffentlichung
(wer)
Vizja Press & IT
(wo)
Warsaw
(wann)
2016

DOI
doi:10.5709/ce.1897-9254.194
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Gałecka-Burdziak, Ewa
  • Vizja Press & IT

Entstanden

  • 2016

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