LEADER 04416nam 22007935 450 001 9910298549103321 005 20250609111652.0 010 $a3-319-03686-6 024 7 $a10.1007/978-3-319-03686-1 035 $a(CKB)2550000001199557 035 $a(EBL)1698124 035 $a(OCoLC)881166011 035 $a(SSID)ssj0001185233 035 $a(PQKBManifestationID)11976480 035 $a(PQKBTitleCode)TC0001185233 035 $a(PQKBWorkID)11196867 035 $a(PQKB)10191744 035 $a(MiAaPQ)EBC1698124 035 $a(DE-He213)978-3-319-03686-1 035 $a(PPN)176108327 035 $a(MiAaPQ)EBC4071553 035 $a(EXLCZ)992550000001199557 100 $a20140117d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSpanish Regional Unemployment $eDisentangling the Sources of Hysteresis /$fby Alejandro García-Cintado, Diego Romero-Ávila, Carlos Usabiaga 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (71 p.) 225 1 $aSpringerBriefs in Economics,$x2191-5504 300 $aDescription based upon print version of record. 311 08$a3-319-03685-8 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- PANIC Analysis of Spanish Regional Unemployment -- Explaining the Common Stochastic Trend in Spanish Regional Unemployment: Granger-Causality Analysis -- Policy Considerations Drawn from Our Results -- Concluding Remarks -- Appendix. 330 $aThis work investigates the time series properties of the unemployment rate of the Spanish regions over the period 1976-2011. For that purpose, the authors employ the PANIC procedures of Bai and Ng (2004), which allows to decompose the observed unemployment rate series into common factor and idiosyncratic components. This enables the authors to identify the exact source behind the hysteretic behaviour found in Spanish regional unemployment. Overall, the analysis with three different proxies for the excess of labour supply renders strong support for the hysteresis hypothesis, which appears to be caused by a common stochastic trend driving all the regional unemployment series. In the second part of the analysis the authors try to determine the macroeconomic and institutional factors that are able to explain the time series evolution of the common factor, and in turn help us shed light on the ultimate sources of hysteresis. The reader shall see how the variables that the empirical analysis emphasises as relevant closely fit into the main causes of the Spanish unemployment behaviour. Finally, some policy considerations drawn from the results are presented. 410 0$aSpringerBriefs in Economics,$x2191-5504 606 $aLabor economics 606 $aMacroeconomics 606 $aEconomic policy 606 $aRegional economics 606 $aSpace in economics 606 $aLabor Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W37000 606 $aMacroeconomics/Monetary Economics//Financial Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W32000 606 $aEconomic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W34010 606 $aRegional/Spatial Science$3https://scigraph.springernature.com/ontologies/product-market-codes/W49000 607 $aSpain$xEconomic conditions$xRegional disparities 615 0$aLabor economics. 615 0$aMacroeconomics. 615 0$aEconomic policy. 615 0$aRegional economics. 615 0$aSpace in economics. 615 14$aLabor Economics. 615 24$aMacroeconomics/Monetary Economics//Financial Economics. 615 24$aEconomic Policy. 615 24$aRegional/Spatial Science. 676 $a331.110946 700 $aGarcía-Cintado$b Alejandro$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059454 702 $aRomero-Ávila$b Diego$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aUsabiaga$b Carlos$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298549103321 996 $aSpanish Regional Unemployment$92505908 997 $aUNINA