Chasing graduate jobs?

Autor/inn/en	Mosca, Irene; Wright, Robert E.
Institution	Forschungsinstitut zur Zukunft der Arbeit
Titel	Chasing graduate jobs? Gefälligkeitsübersetzung: Auf der Jagd nach akademischen Berufen?
Quelle	Bonn: IZA (2011), 32 S., 195,76 KB PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	IZA discussion paper. 6253
Beigaben	grafische Darstellungen
Sprache	englisch
Dokumenttyp	online; Monographie; Graue Literatur
Schlagwörter	Soziale Mobilität; Binnenwanderung; Regionale Mobilität; Unterbeschäftigung; Arbeitsmarktchance; Überqualifikation; Akademiker; Hochschulabsolvent; Berufsanfänger; Großbritannien; Schottland
Abstract	"This paper examines empirically the relationship between under-employment and migration amongst five cohorts of graduates of Scottish higher education institutions with micro-data collected by the Higher Education Statistical Agency. The data indicate that there is a strong positive relationship between migration and graduate employment - those graduates who move after graduation from Scotland to the rest of the UK or abroad have a much higher rate of graduate employment. Versions of probit regression are used to estimate migration and graduate employment equations in order to explore the nature of this relationship further. These equations confirm that there is a strong positive relationship between the probability of migrating and the probability of being in graduate employment even after other factors are controlled for. Instrumental variables estimation is used to examine the causal nature of the relationship by attempting to deal with the potential endogeneity of migration decisions. Overall the analysis is consistent with the hypotheses that a sizeable fraction of higher education graduates are leaving Scotland for employment reasons. In turn this finding suggests the over-education/under-employment nexus is a serious problem in Scotland." (Author's abstract, IAB-Doku). Die Untersuchung enthält quantitative Daten. Forschungsmethode: empirisch-quantitativ; empirisch; Längsschnitt. Die Untersuchung bezieht sich auf den Zeitraum 1983 bis 2010.
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2012/2