An Analysis of Trends in Spatial Mobility of Dutch Graduates

Venhorst, Viktor; Dijk, Jouke van; Wissen, Leo van

doi:10.1080/17421772.2010.540033

“…Using micro data on Dutch college and university graduates, Venhorst et al (2011) find that graduates migrate to regions with relatively strong economic growth and low unemployment rates. Distinguishing three different migrant types of Italian graduates, Marinelli (2013) confirms selective migration patterns, in particular that weaker graduates are more likely to either stay in economically poorer regions or to return there.…”

Section: Introductionmentioning

confidence: 99%

“…Knowledge about the determinants of graduate migration is crucial to policy makers in order to develop strategies on how to keep or attract the highly skilled (Venhorst et al 2011) and to understand the potential need for policies that deal with the economic and fiscal consequences of high-skilled migration.…”

Section: Introductionmentioning

confidence: 99%

“…Second, to our knowledge, we are the first who not only analyze the determinants of migration at labor market entry but also with respect to later job changes. We find that job changes mostly depend on the field of study and previous employment conditions, while related migration is predominantly affected by previous migration paths and regional characteristics.Knowledge about the determinants of graduate migration is crucial to policy makers in order to develop strategies on how to keep or attract the highly skilled (Venhorst et al 2011) and to understand the potential need for policies that deal with the economic and fiscal consequences of high-skilled migration.The remainder of the paper is structured as follows. In Section 2, we study job change behavior and migration patterns.…”

mentioning

confidence: 99%

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Job changes and interregional migration of graduates

Haußen

¹

,

Uebelmesser

²

2017

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. licence. www.econstor.eu If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated Job Changes and Interregional Migration of Graduates February 26, 2016 AbstractWe empirically analyze job changes and related location choices for graduates in Germany and its determinants. Using a longitudinal, representative survey-based dataset, we not only observe the transition of graduates to the labor market but also every subsequent job change within five years after graduation. Contrary to what is often assumed in the literature, our findings show that around 75% of the graduates have more than one job within our observation period and for a non-negligible share of them, job changes are related to interregional migration. Whereas job changes mostly depend on the field of study and previous employment conditions, migration is predominantly affected by previous migration paths and regional characteristics. JEL-Classification: J61, J62, R11, I23, H72Keywords: job changes, interregional migration, graduates, longitudinal graduate survey IntroductionIn recent decades, migration of high-skilled has notably increased (see, e.g., Docquier and Marfouk 2005 for international evidence). From a global perspective, this development is positive as a more mobile high-skilled workforce leads to a more efficient allocation of labor across regions and countries and allows for better adjustments to economic change (Borjas et al. 1997). From the regional or national perspective, however, the effects are less clear. In particular, whether the investment in higher education pays out depends on graduate mobility. If more graduates in a region lead to more human capital there, this can be expected to foster economic growth and innovative performance (see, e.g., Audretsch et al. 2005, Baptista and Mendonça 2010, Fritsch and Aamoucke 2013 and to lead to higher tax revenues (Gérard and Uebelmesser 2014). But there is considerable theoretical and empirical evidence that the individual propensity to migrate is positively correlated with human capital endowment (Coulom...

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“…11 For this section, and particularly in regard to the Canadian data, we acknowledge useful comments from François Vaillancourt and the valuable assistance of Véronique Laramée, both from the University of Montreal. 12 Studies on migration in other national contexts are, e.g., Faggian, McCannand Sheppard (2007) who focus on Scottish and Welsh students and Venhorst, van Dijk and van Wissen (2011)for an analysis of Dutch graduates. Backman and Bjerke (2010) …”

Section: Mobility Of Labor Increases With the Skill Of The Workersmentioning

confidence: 99%

Financing Higher Education When Students and Graduates Are Internationally Mobile

Gérard¹,

Uebelmesser²

2015

The Mobility of Students and the Highly Skilled

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper aims at linking cross border mobility of students and graduates with the financing of higher education. Against the background of institutional features and empirical evidence of the European Union and Northern America, a theoretical framework is developed. This allows analyzing the optimal financing regimes for different migration scenarios, comparing them with the regimes in place and discussing possible remedies. In particular, the (optimal) sharing of education costs between students / graduates and tax-payers is studied as well as the (optimal) sharing of the taxpayers' part between the various countries involved: the country which provides higher education (the host country), the country of previous education (the origin country) and possibly the countries which benefit from the improved skills of the workers. Alternative designs exhibiting potentially desirable properties are developed and policy recommendations derived.

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“…The first process gives promise to individual spatial mobility and the second process concerns spatial pulling effects. The search behavior of youths is not necessarily a geographically static process [20] [21]. In an aggregate data analysis of youths' work commutes in Germany, Bogai et al [22] point to the importance of mobility in obtaining a training position, depending on the situation in the regional training market and settlement structures as a measure of the degree of (economic) agglomeration of the region.…”

Section: On the Relevance Of Spatial Externalitiesmentioning

confidence: 99%

Modeling Spatial Opportunity Structures and Youths’ Transitions from School to Training

Wicht¹,

Nonnenmacher²

2017

OJS

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This paper examines the significance of spatial externalities for youths' school-to-training transitions in Germany. For this purpose, it is necessary to address the methodological question of how an individual's spatial context has to be operationalized with respect to both its extent and the problem of spatial autocorrelation. Our analyses show that the "zone of influence" comprises of the whole of Germany, not only close-by districts, and that these effects differ between structurally weak and strong regions. Consequently, assuming that only close proximity affects individual outcomes may disregard relevant contextual influences, and for spatial models that require an a priori definition of the weights for spatial units, it may be erroneous to make a decision based on this assumption. Concerning spatial autocorrelation, we found that neglecting local spatial autocorrelation at the context level causes considerable bias to the estimates, especially for districts that are close to the home district.

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An Analysis of Trends in Spatial Mobility of Dutch Graduates

Cited by 113 publications

References 40 publications

Job changes and interregional migration of graduates

Job changes and interregional migration of graduates

Financing Higher Education When Students and Graduates Are Internationally Mobile

Modeling Spatial Opportunity Structures and Youths’ Transitions from School to Training

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