<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Patuelli, Roberto</dc:creator>
  <dc:creator>Schanne, Norbert</dc:creator>
  <dc:creator>Griffith, Daniel A.</dc:creator>
  <dc:creator>Nijkamp, Peter</dc:creator>
  <dc:date>2010</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The geographical distribution and persistence of regional/local  unemployment rates in heterogeneous economies (such as Germany)  have been, in recent years, the subject of various theoretical and  empirical studies. Several researchers have shown an interest in  analysing the dynamic adjustment processes of unemployment and the  average degree of dependence of the current unemployment rates or  gross domestic product from the ones observed in the past. In this  paper, we present a new econometric approach to the study of regional  unemployment persistence, in order to account for spatial heterogeneity  and/or spatial autocorrelation in both the levels and the dynamics of  unemployment. First, we propose an econometric procedure suggesting  the use of spatial filtering techniques as a substitute for fixed effects in  a panel estimation framework. The spatial filter computed here is a proxy  for spatially distributed region-specific information (e.g., the endowment  of natural resources, or the size of the ‘home market’) that is usually  incorporated in the fixed effects coefficients. The advantages of our  proposed procedure are that the spatial filter, by incorporating region- specific information that generates spatial autocorrelation, frees up  degrees of freedom, simultaneously corrects for time-stable spatial  autocorrelation in the residuals, and provides insights about the spatial  patterns in regional adjustment processes. In the paper we present  several experiments in order to investigate the spatial pattern of the  heterogeneous autoregressive coefficients estimated for unemployment  data for German NUTS-3 regions.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://susi.usi.ch/global/documents/318320</dc:identifier>
  <dc:identifier>https://localhost:5000/ark:/12658/srd1318320</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/318320/files/wp1001.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1318320</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Unemployment persistence</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">dynamic panel</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">hysteresis</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">spatial filtering</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">fixed effects</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/33</dc:subject>
  <dc:title xmlns:ns6="xml" ns6:lang="en">Persistent disparities in regional unemployment : application of a spatial filtering approach to local labour markets in Germany</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_816b</dc:type>
</oai_dc:dc>
