Implementing Dynamics of Immigration Integration in Labor Force Participation Projection in EU28

15986 9 87941 2 250444 document 87941 Marois2019_Article_ImplementingDynamicsOfImmigrat.pdf application/pdf 0864d9ef67a5f1bc9cfd7204c469bb02 MD5 841191 2019-07-15 08:04:25 https://pure.iiasa.ac.at/id/eprint/15986/1/Marois2019_Article_ImplementingDynamicsOfImmigrat.pdf 15986 1 1 application/pdf text en public cc_by_4

Marois2019_Article_ImplementingDynamicsOfImmigrat.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/87941 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/87941 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/87941 archive 353 disk0/00/01/59/86 2019-07-15 08:06:45 2021-08-27 17:31:55 2019-07-15 08:06:45 article show 1 Marois G. 2145 0000-0002-2701-6286 Sabourin P. 2141 Bélanger A. Implementing Dynamics of Immigration Integration in Labor Force Participation Projection in EU28 pub prog_pop Labor force participation; Population; Projection; Microsimulation; Immigration; Immigrant; Integration; Europe Many developed countries have turned to immigration in order to mitigate the consequences of population aging, particularly the expected decline in the labor force population. Yet, few projection models take in consideration explicitly the differentials in labor force participation of population sub-groups. This paper describes the labor force participation module of CEPAM-Mic, which is a microsimulation model that projects several demographic, ethnocultural, and socioeconomic dimensions of the EU28 member countries population. Then, the microsimulation model is used to project EU labor force population for the period 2015–2060 under different scenarios illustrating how implementing sex- and country-specific dynamics of immigrants’ integration may affect the future labor force in terms of size, rates, and gender composition. We estimated the parameters of the labor force module using logistic regressions based on the EU-Labour Force Survey (EU-LFS). In addition to age, sex, and education, immigrant-related variables are also included, such as immigrant status, place of birth, age at immigration, and duration of residence in the estimation of the probability of being active. Our results demonstrate the importance of taking into account differentials in labor force participation of population sub-groups when asserting the potential of immigration as a tool for managing population aging. In the European context, adding immigration differentials in labor force participation affects mainly downward the number of female immigrants in the labor force, while smaller differences are observed for male immigrants. An increase in immigration levels leads obviously to an increase in the total labor force size, but may also widen gender inequalities in labor force participation and has limited impact on the total labor force participation rate. Our findings suggest that relying on immigration as a tool to alleviate economic issues arising from population aging must imperatively be accompanied by strong and efficient measures to promote a full economic integration of immigrants. 2020-04 published Springer Netherlands 10.1007/s11113-019-09537-y 2905 2893 public Population Research and Policy Review 39 339-363 TRUE 0167-5923 FALSE no info:eu-repo/semantics/article