Using a points system for selecting immigrants.

Autor/in	Tani, Massimiliano
Titel	Using a points system for selecting immigrants. Gefälligkeitsübersetzung: Anwendung eines Punktesystems für die Auswahl von Einwanderern.
Quelle	In: Ifo DICE report, 16 (2018) 1, S. 8-13 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	2511-7815; 2511-7823
Schlagwörter	Fremdsprachenkenntnisse; Arbeitserlaubnis; Migrationspolitik; Erlernter Beruf; Mangelberuf; Qualifikation; Internationaler Vergleich; Auswahlverfahren; Entscheidungskriterium; Ausländer; Australien; Kanada; Neuseeland
Abstract	"Point-based systems regulate the immigration of large volumes of economic immigration in Canada, New Zealand, and Australia. Past experience from these three destination countries suggests that the point-based system admits those possessing the desired observable characteristics (Tani 2014). Host country citizens are generally supportive of selective immigrant policies, as these are perceived as an essential tool for the orderly management of population inflows. These features underpin some of the reasons why the merits of introducing a selective immigration mechanism are regularly raised in policy discussions in host countries that do not apply such a mechanism, especially at times of surging and apparently uncontrollable immigrant flows. A point-based immigration system, however, does not guarantee complete success in removing local skills shortages, nor does it secure a positive labour market outcome for every selected migrant. Migrants' skill mismatch and discrimination seem to differ little internationally, regardless of whether or not host countries have adopted a point-based selective immigration policy. This raises the question of whether the success of an immigration policy can be evaluated using migrants' subsequent labour market outcomes (Tani 2017). These considerations" (Text excerpt, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2018/4