Working Paper
Samuel D. Schmid, Marc Helbling
WZB Discussion Paper SP VI 2016–202, WZB Berlin Social Science Center, 2016
WZB Discussion Paper SP VI 2016–202, WZB Berlin Social Science Center, 2016
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APA
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Schmid, S. D., & Helbling, M. (2016). Validating the Immigration Policies in Comparison (IMPIC) Dataset. WZB Berlin Social Science Center.
Chicago/Turabian
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Schmid, Samuel D., and Marc Helbling. Validating the Immigration Policies in Comparison (IMPIC) Dataset. WZB Berlin Social Science Center, 2016.
MLA
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Schmid, Samuel D., and Marc Helbling. Validating the Immigration Policies in Comparison (IMPIC) Dataset. no. WZB Discussion Paper SP VI 2016–202, WZB Berlin Social Science Center, 2016.
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@techreport{samuel2016a,
title = {Validating the Immigration Policies in Comparison (IMPIC) Dataset},
year = {2016},
institution = {WZB Berlin Social Science Center},
issue = {WZB Discussion Paper SP VI 2016–202},
author = {Schmid, Samuel D. and Helbling, Marc}
}
Abstract
The aim of this paper is to discuss the external and internal validity of the newly created Immigration Policies in Comparison (IMPIC) dataset. After presenting its theoretical conceptualization, we compare the IMPIC to other datasets in this policy field. Next, using a variant of principal component analysis, we empirically analyze its sub-dimensions. Among other things, and contrary to some expectations in the extant literature, we find that there appears to be a comprehensive and consistent dimension comprising immigration policies for the fields of labor migration, family reunification, and asylum seekers. We also offer two typologies, which can be used to map the most important dimensions of variation. These validity tests allow us to better understand what the IMPIC dataset measures, what its main dimensions are, and how it can be compared to other indices that measure immigration policies.
The aim of this paper is to discuss the external and internal validity of the newly created Immigration Policies in Comparison (IMPIC) dataset. After presenting its theoretical conceptualization, we compare the IMPIC to other datasets in this policy field. Next, using a variant of principal component analysis, we empirically analyze its sub-dimensions. Among other things, and contrary to some expectations in the extant literature, we find that there appears to be a comprehensive and consistent dimension comprising immigration policies for the fields of labor migration, family reunification, and asylum seekers. We also offer two typologies, which can be used to map the most important dimensions of variation. These validity tests allow us to better understand what the IMPIC dataset measures, what its main dimensions are, and how it can be compared to other indices that measure immigration policies.
