Sequential Migration Types: MNL Model

Sequential Migration Types: MNL Model

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In this paper we employ dichotomous, multinomial and conditional logit models to analyze the employment-migration behavior of some 380,000 U.K. university graduates. By controlling for a range of variables related to human capital acquisition and local economic conditions, we are able to distinguish between different types of sequential migration b...

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Context 1
... order to identify the effects of gender, human capital, and other personal characteristics on determining the types of sequential migration behavior exhibited by individuals, we can employ a MNL model to estimate the likelihood of an individual exhibiting one of these five alternative migration types, as a function of a range of personal characteristics. The results of this estimation process are given in Tables 3 and 4. ...
Context 2
... results of our multinomial model are given in Table 3 and Table 4. As we see, our results 10 correspond broadly to the predictions of human capital migration model. ...

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In this paper we employ dichotomous, multinomial and conditional logit models in order to analyse the employment-migration behaviour of some 300,000 UK university graduates. By controlling for a range of variables related to human-capital acquisition and local economic conditions, we are able to distinguish between different types of sequential mig...

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... As urbanization continues to shape the global landscape, understanding the nuanced dynamics between female entrepreneurship, urban liveability and the technological underpinnings of smart cities becomes imperative. This convergence of economic, social and technological domains holds potential for synergistic growth, where fostering female entrepreneurship aligns with the goals of creating sustainable and inclusive urban ecosystems (Faggian et al., 2007;Nguyen, 2021;Shayan and Kim, 2023). However, to fully grasp the intricacies of this interplay, it is essential to develop a comprehensive theoretical framework that encapsulates the multifaceted dimensions of this relationship. ...
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... La littérature identifie de nombreux facteurs ayant un impact sur le choix d'un lieu de résidence, tels que les opportunités de carrières et de revenus, mais également une certaine qualité de vie, des facteurs sociaux tels que la proximité des amis et de la famille, ainsi que les caractéristiques individuelles de chacun. Tous ces facteurs font l'objet d'une attention croissante dans les études sur les déterminants de la migration et d'un lieu de résidence (Florida, 2002(Florida, , 2003Faggian et al., 2007 ;Pethe et al., 2009 ;Venhorst et al., 2011 ;Sykes, 2012 ;Musterd et Gritsai, 2013 ;Sleutjes, 2014). ...
... En premier lieu, l'âge est souvent un facteur majeur. Plusieurs études montrent qu'à mesure que l'âge augmente, la tendance à la migration diminue (Faggian et al., 2007 ;Charlier et al., 2016). Il semblerait que les individus auraient la plus forte propension à migrer au début de la vingtaine, une fois diplômés et à la recherche de leur premier emploi, et que cette propension diminuerait par la suite, à cause de leur famille et de l'acceptation d'un emploi plus permanent (Venhorst et al., 2011). ...
... Alors que, dans l'esprit des gens, les hommes sont souvent supposés et imaginés plus mobiles que les femmes, certaines études démontrent que les femmes diplômées sont plus mobiles que les hommes, et plus particulièrement en termes de migrations internes. L'explication avancée est qu'elles utilisent la migration pour accéder à des opportunités d'emploi plus nombreuses et de meilleures qualités afin de compenser les discriminations fondées sur le sexe, et non pas parce qu'elles suivraient un partenaire éventuel (Faggian et al., 2007 ;Venhorst et al., 2011). ...
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... On the other hand, rising urbanisation may come at the expense of rural regions. Many studies emphasise that migration is not only 'selective of the younger, better-educated, and more highly productive workers' (Greenwood, 1975, p. 415, see also Faggian et al., 2007) but also not uniform across the urban hierarchy (Corcoran et al., 2010;Stockdale, 2006). In this context, rural communities suffer from selective out-migration, especially of highly skilled young adults (Corbett, 2007), creating urban 'winner' (Costa and Kahn, 2000;Ritsilä and Ovaskainen, 2001) and rural 'loser' regions with increasing spatial disparities over time (Fratesi and Percoco, 2014;Granato et al., 2015;Iammarino and Marinelli, 2011). ...
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... Owing to the essential differences between these two migration types, the existing literature either focuses on the first stage of migration from domicile to university (also called student mobility) (Faggian & Franklin, 2014;Tosi et al., 2019) or the second stage of migration from university to work (Haussen & Uebelmesser, 2018;Kotavaara et al., 2018;Krabel & Flöther, 2014;Venhorst et al., 2010). Second, among the previous studies that identified the two stages of migration, most of them integrated the two stages into five migration types (Faggian et al., 2007Yue & Qiu, 2019). Few studies have recognized that the two-stage migration is not independent of each other but correlated, apart from a few exceptions, such as Ciriaci (2014), Du (2018), and Ma et al. (2017). ...
... Individual-level factors also affect the university-to-work migration of graduates. It has been verified that the migration choice of graduates is diversified by their demographic characteristics-family background, discipline, type of degree, academic performance, and work experience (Faggian et al., 2007;Tano, 2014). Focusing on gender differences, Faggian et al. (2007) discovered that UK female graduates were generally more mobile than their male counterparts. ...
... It has been verified that the migration choice of graduates is diversified by their demographic characteristics-family background, discipline, type of degree, academic performance, and work experience (Faggian et al., 2007;Tano, 2014). Focusing on gender differences, Faggian et al. (2007) discovered that UK female graduates were generally more mobile than their male counterparts. Gottlieb and Joseph (2006) indicated that science and technology graduates in the US were concentrated in places with an educated population, and Ph.D. graduates were more conscious of amenity factors than other degree holders. ...
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... The issue of gender in migrations has been widely discussed, observing that throughout history, it is usually men who participate the most in migratory processes (Gulati, 1993;Hernando, 2005). However, as we will see below, this is not a monolithic reality since there are various cases in which women are as mobile as men in migratory contexts (Faggian, 2007;Kifeyesus, 2012). ...
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