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%T Measuring integration in the labor market - which to use, the demographic or the ethnic concept?
%A Krusell, Slim
%J Studies of Transition States and Societies
%N 2
%P 19-37
%V 12
%D 2020
%K immigrants, ethnic concept, Russian-speaking population
%@ 1736-8758
%> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-71461-8
%X In most countries, the data and the underlying theoretical approaches tend to emphasize the greater  success  of  the  natives  or  the  ethnic  majority  in  the  labor  market.  When  measuring  integration and success in the labor market, different approaches can be used, for example, the demographic or ethnic concept. The ethnic concept refers to ethnicity, regardless of having an immigrant background or not. The demographic concept instead uses the native/immigrant dimension, usually considering first- and second-generation immigrants. Researchers' use of these  concepts  varies  by  country  but  rarely  do  they  discuss  which  concept  would  be  more  relevant  to  measure  labor  market  differences  and  inequalities.  Relevance  is  defined  by  how  labor market differences and inequalities can be identified most clearly. In recent literature, it is suggested that in Baltic countries statistical categories of "international migrant/foreign-born" (demographic concept) are not relevant to use because migration took place inside the borders. In the current article, the focus is on the Estonian context and the research question, therefore,  asks  which  concept  is  suitable  for  the  Estonian  context  when  taking  the  Russian  speaking population into consideration in labor market analysis. Results lead to the conclusion that  using  the  demographic  concept  without  making  an  ethnic  distinction  could  lead  to  a  distorted interpretation of the Russian-speaking population’s labor market integration in the Estonian context. This result also supports the recommendations from previous literature to use an ethnic concept. The study used the Labor Force Survey (LFS) 2013-2014 for the empirical analysis.
%C MISC
%G en
%9 Zeitschriftenartikel
%W GESIS - http://www.gesis.org
%~ SSOAR - http://www.ssoar.info