Role of Education in Economic Integration of the Albanian Emigrant’s: A Multinomial Regression Approach
DOI:
https://doi.org/10.36941/jesr-2024-0007Keywords:
logistic, regression, return, integration, education, remittancesAbstract
The objective of the study is to analyze role of educational level of immigrants in the country of origin, training, and the recognition of school documents in economic integration and employment. In this study, the motivation and the reasons for sending and the destination of the use of remittances was analyzed. The Cassarino's model theoretical approach was used in this study to explain the new models of integration. In this study, the descriptive statistics method and logistic regression modeling is used. The data analysis shows that 68.7% of returned immigrants feel happy after returning compared to 31.3% who do not feel happy after returning. The main destination of the use of immigrant remittances based on the data results were for family needs, 97.9% of the responses affirm that and 2.1% affirm the use for other purposes. The group of immigrants without education have a very high relative chance of using remittances to meet the needs of their families. The role of equivalencies of education documents in the status of employment was analyzed, where 7.5% declared that the education documents of the country of emigration were known, 84.1% declared that they were not known, and 8.3 % gave the other answer. Differences exist regarding the employment status for immigrants whose education documentation was known. For an immigrant whose education documents are recognized, the chance of being employed is 3.07 times higher than an unemployed person and 4.41 times higher than the self-employed group. Participation in vocational training courses in the countries of immigration increases the chance of perceiving the economic situation as very good by 2.15 times higher compared to those who perceive it as unchanged. It is necessary to collect the data and information about reintegration of migrants in their country of origin.
Received: 2 September 2023 / Accepted: 21 December 2023 / Published: 5 January 2024
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.