Probabilidad individual de desempleo durante la Gran Recesión en España

Content Provider	Semantic Scholar
Author	Navarro-Gomez, Maria Lucia Rueda-Narvaez, Mario Federico
Copyright Year	2019
Abstract	High unemployment remains one of the main economic problems of Spain, which has sustained in the last years a much higher level of joblessness than similar developed countries. In September 2017, according to Eurostat data, the Spanish unemployment rate stood at 16.5%, about double the EU mean of 7.9% and second only to Greece. While progress has been made since 2013, when unemployment reached a high of 27%, the labour market has not fully recovered and is still far from the 2007 unemployment low of 8.2%, which was then just one percentage point above the European average. However, when the strength of the labour market is measured by the share of adults in employment, the international comparison is somewhat less bleak: in mid-2017 the Spanish employment rate was 61.1%, while the EU mean stood at 66.7%. One important question arising from these figures is whether this high unemployment rate reflects broad difficulties that affect all adults when finding and keeping jobs, or whether different groups of workers fare differently, depending on their level of education, age or gender, among other socio-economic characteristics. This paper aims to estimate how these individual variables affect the probability of being unemployed for those economically active, and how these effects have evolved in the years since the beginning of the Great Recession. To do so, we use Labour Force Survey (EPA) data from 2005 to 2017 to estimate unemployment probability models and compare the result across different time periods. Our results allow us to identify which groups of the workforce currently find it most difficult to be employed, and which ones have faced the lowest employment probabilities during the crisis.
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Alternate Webpage(s)	https://riuma.uma.es/xmlui/bitstream/handle/10630/17968/Asepelt%20Navarro%20Rueda%20resumen.pdf?isAllowed=y&sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article