This study aims to shed more light on the gendered dimension of international migration of the highly skilled by analysing migration of highly educated women from Central Eastern European countries that joined EU in 2004 and 2007. The study examines the effects of various conditions in destination countries that may affect migration flows of women, specifically focusing on gender inequality, expected income and existing migrant networks in destination countries. Gravity model for migration is used in the analysis. Gravity equations are derived using random utility maximization model and estimated with Poisson pseudo-likelihood estimator. The results of the study show that the effect of gender inequality on migration flows of highly educated women is closely connected to the effect of expected income. It is observed that highly educated women migrants tend to be more sensitive to gender inequality in high income countries, which may show that once the expectations regarding expected economic gain from migration are satisfied, gender inequality becomes important. However, the findings have to be considered with caution.
Anotace v angličtině
This study aims to shed more light on the gendered dimension of international migration of the highly skilled by analysing migration of highly educated women from Central Eastern European countries that joined EU in 2004 and 2007. The study examines the effects of various conditions in destination countries that may affect migration flows of women, specifically focusing on gender inequality, expected income and existing migrant networks in destination countries. Gravity model for migration is used in the analysis. Gravity equations are derived using random utility maximization model and estimated with Poisson pseudo-likelihood estimator. The results of the study show that the effect of gender inequality on migration flows of highly educated women is closely connected to the effect of expected income. It is observed that highly educated women migrants tend to be more sensitive to gender inequality in high income countries, which may show that once the expectations regarding expected economic gain from migration are satisfied, gender inequality becomes important. However, the findings have to be considered with caution.
This study aims to shed more light on the gendered dimension of international migration of the highly skilled by analysing migration of highly educated women from Central Eastern European countries that joined EU in 2004 and 2007. The study examines the effects of various conditions in destination countries that may affect migration flows of women, specifically focusing on gender inequality, expected income and existing migrant networks in destination countries. Gravity model for migration is used in the analysis. Gravity equations are derived using random utility maximization model and estimated with Poisson pseudo-likelihood estimator. The results of the study show that the effect of gender inequality on migration flows of highly educated women is closely connected to the effect of expected income. It is observed that highly educated women migrants tend to be more sensitive to gender inequality in high income countries, which may show that once the expectations regarding expected economic gain from migration are satisfied, gender inequality becomes important. However, the findings have to be considered with caution.
Anotace v angličtině
This study aims to shed more light on the gendered dimension of international migration of the highly skilled by analysing migration of highly educated women from Central Eastern European countries that joined EU in 2004 and 2007. The study examines the effects of various conditions in destination countries that may affect migration flows of women, specifically focusing on gender inequality, expected income and existing migrant networks in destination countries. Gravity model for migration is used in the analysis. Gravity equations are derived using random utility maximization model and estimated with Poisson pseudo-likelihood estimator. The results of the study show that the effect of gender inequality on migration flows of highly educated women is closely connected to the effect of expected income. It is observed that highly educated women migrants tend to be more sensitive to gender inequality in high income countries, which may show that once the expectations regarding expected economic gain from migration are satisfied, gender inequality becomes important. However, the findings have to be considered with caution.
In the past gender dimension was neglected in migration research. Traditionally it was believed that women rarely make a decision to move and even if they do, they move because of their family or spouse and do not make an independent decision to move themselves. However, as female migration rates are rapidly increasing, especially among highly educated and skilled females, it is important to focus more on gender dimension in migration research. Migration of highly educated and skilled individuals, also called "brain drain", is a great problem for a lot of countries, especially small open economies, as it shatters their potential for development and economic growth. If gender dimension is neglected while analysing the brain drain, the research may present an incomplete picture of decision making processes connected to migration. This thesis will aim to contribute to growing but still scarce amount of academic literature on female migration, specifically focusing on high skilled female migration.
The main aim of this thesis will be to analyse what significant variables afect the decision of high skilled females to move from their home country. The research will also aim to analyse the effect gender equality nad its promotion in a home country has on the woman's decision to move. This research will be focused on high skilled women from countries that are considered to be small open economies. Quantitative research methods will be used in order to test which variables have a significant effect on women's decision to move.
Zásady pro vypracování
In the past gender dimension was neglected in migration research. Traditionally it was believed that women rarely make a decision to move and even if they do, they move because of their family or spouse and do not make an independent decision to move themselves. However, as female migration rates are rapidly increasing, especially among highly educated and skilled females, it is important to focus more on gender dimension in migration research. Migration of highly educated and skilled individuals, also called "brain drain", is a great problem for a lot of countries, especially small open economies, as it shatters their potential for development and economic growth. If gender dimension is neglected while analysing the brain drain, the research may present an incomplete picture of decision making processes connected to migration. This thesis will aim to contribute to growing but still scarce amount of academic literature on female migration, specifically focusing on high skilled female migration.
The main aim of this thesis will be to analyse what significant variables afect the decision of high skilled females to move from their home country. The research will also aim to analyse the effect gender equality nad its promotion in a home country has on the woman's decision to move. This research will be focused on high skilled women from countries that are considered to be small open economies. Quantitative research methods will be used in order to test which variables have a significant effect on women's decision to move.
Seznam doporučené literatury
Beine, M., Bertoli, S., & Fernandez-Huertas Moraga, J. (2016). A practitioners' guide to gravity models of international migration. The World Economy, 39(4), 496-512.
Dumont, J.C., Martin, J. P., & Spielvogel, G. (2007). Women on the move: the neglected gender dimention of the brain drain.
Kofman, E. (2000). The invisibility of skilled female migrants and gender relations in studies of skilled migration in Europe. International Journal of Population Geography, 6(1), 45-59.
Naghsh Nejad, M. (2013). Instituionalized inequality and brain drain: an empirical study of the effects of women's rights on the gender gap in high-skilled migration. Available at SSRN 2116618.
Naghsh Nejad, M., & Young, A. T. (2014). Female brain drains and women's rights gaps: a gravity model analysis of bilateral migration flows. Available at SSRN 2191658.
Seznam doporučené literatury
Beine, M., Bertoli, S., & Fernandez-Huertas Moraga, J. (2016). A practitioners' guide to gravity models of international migration. The World Economy, 39(4), 496-512.
Dumont, J.C., Martin, J. P., & Spielvogel, G. (2007). Women on the move: the neglected gender dimention of the brain drain.
Kofman, E. (2000). The invisibility of skilled female migrants and gender relations in studies of skilled migration in Europe. International Journal of Population Geography, 6(1), 45-59.
Naghsh Nejad, M. (2013). Instituionalized inequality and brain drain: an empirical study of the effects of women's rights on the gender gap in high-skilled migration. Available at SSRN 2116618.
Naghsh Nejad, M., & Young, A. T. (2014). Female brain drains and women's rights gaps: a gravity model analysis of bilateral migration flows. Available at SSRN 2191658.
Přílohy volně vložené
1 CD ROM
Přílohy vázané v práci
grafy, tabulky
Převzato z knihovny
Ano
Plný text práce
Přílohy
Posudek(y) oponenta
Hodnocení vedoucího
Záznam průběhu obhajoby
Student presented the results of the diploma thesis - High-Skilled Female Migration and Gender Equality. Student introduced main topics, objectives and methodology of the thesis. Committee was familiarized with both reviews from supervisor and reviewer. Discussion followed - student focused on those topics and issues - explanation of explanatory variables, findings about the role of gender inequality measures at destination in shaping the distribution of the migration flows of high-skilled women, etc.