Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/118242 
Erscheinungsjahr: 
2006
Schriftenreihe/Nr.: 
46th Congress of the European Regional Science Association: "Enlargement, Southern Europe and the Mediterranean", August 30th - September 3rd, 2006, Volos, Greece
Verlag: 
European Regional Science Association (ERSA), Louvain-la-Neuve
Zusammenfassung: 
In many countries labour market policy has to deal with fairly large and persistent regional labour market disparities. In the case of Germany, parts of the country are affected by a deep unemployment crisis whereas others show nearly full employment. Since these disparities cannot be reduced to only one dimension a classification system of labour markets was developed. The criterion of this system was the identification of the "regional disadvantage" for the success of labour market policy. This new classification is at the level of districts (NUTS 3 regions). To optimise the results a two-step classification method was applied. The first step included regression analyses to identify the exogenous determinants of the success of labour market policy. In the second step, different types of labour markets are determined from a specific variant of cluster analysis which used the weighted variables identified as significant in the first step. This classification is used in the Federal Employment Agency for benchmarking reasons. Besides that, the new classification obtained could also be employed in research, for example in the evaluation of labour market policy.
Dokumentart: 
Conference Paper

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