04388ntm a22005777i 4500 000725238 CZ-PrVSE 20250824103944.0 m d cr n|||||||||| 250824s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Zhang, Jing ISIS:174383 dis Understanding International Remittance Flows : A Comparative Analysis Across Distinct Corridors Using Hybrid Machine Learning Methodologies eng Understanding International Remittance Flows : A Comparative Analysis Across Distinct Corridors Using Hybrid Machine Learning Methodologies Jing Zhang 2025 ?? stran : digital, PDF soubor Vedoucí práce: Petr Musil Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 This study examines international remittance flows to/from ten diverse countries: Czech Republic, Philippines, Mexico, India, Ukraine, Vietnam, Poland, Slovakia, Turkey, and Bangladesh, during 2000-2024. A novel hybrid methodology, consisting of traditional economic analysis combined with machine learning techniques is applied, namely Temporal Pattern Recognition via Long Short-Term Memory (LSTM) networks and Determinant Identification through Extreme Gradient Boosting (XGBoost). Substantial determinant heterogeneity across countries at different levels of development is the major findings. While Real GDP is emerged to be the top determinant on a global level, the Czech Republic displays a unique profile, where the remittance-to-GDP ratio plays the top role, reflecting the unique transition profile of the Czech Republic among all countries in the world. It indicates that the Czech Republic has transitioned from being a remittance receiving country to a more bidirectional country since joining the European Union in 2004, with increasingly more determinant determinants. The temporal analysis reveals evolutionary patterns, i.e. determinants evolve in a systematic way with time, where economic factors become less important compared to institutional and integration factors. Moreover, the Czech Republic is more sensitive to economic shocks and exchange rate fluctuations compared to more mature sending-receiving countries for remittances. The study makes two principal contributions. Methodologically, it demonstrates that hybrid approaches, consisting of traditional econometric methods combined with machine learning, can be successfully applied to explain a complex phenomenon such as international remittance flows. Theoretically, it proposes a "Remittance Transition Model" to explain determinant evolutionary patterns of international remittance flows. Policy-wise, our findings imply that remittance policies should be designed according to the countries' development stages and transition positions, instead of a one-size-fits-all approach. Způsob přístupu: Internet official statistics [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Temporal Evolution International Remittances LSTM Economic Integration Macroeconomic Variables Czech Republic Socio-economic Factors XGBoost Musil, Petr ISIS:13630 ths Sixta, Jaroslav vse2010609910 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/91977/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/91977 Hlavní práce https://insis.vse.cz/zp/91977/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/91977/posudek/oponent/88235 Oponentura https://insis.vse.cz/zp/91977/priloha/32237 Přiloha k práci https://insis.vse.cz/zp/91977/podrobnosti dc:identifier NEPOSILAT VSKP vse91977 250821 91977