Econometric Analysis of Effective Socio-Economic and Educational Variables in Migration

Autor/inn/en	Kiraci, Arzdar; Canan, Sibel
Titel	Econometric Analysis of Effective Socio-Economic and Educational Variables in Migration
Quelle	In: Eurasian Journal of Educational Research, (2021) 91, S.21-37 (17 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Kiraci, Arzdar) ORCID (Canan, Sibel)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1302-597X
Schlagwörter	Foreign Countries; Socioeconomic Influences; Life Satisfaction; Predictor Variables; Education; Rural to Urban Migration; Turkey + Suchen Sie Ihr Suchwort? Ausland; Sozioökonomischer Faktor; Lebensvollendung; Prädiktor; Bildung; Erziehung; Landflucht; Türkei
Abstract	Purpose: There is a significant educational migration in Turkey, and if life satisfaction is not improved, it is expected that this migration may increase. The aim of this study was to determine the impact effective socio-economic and educational variables in migration using life satisfaction survey data of Turkish Statistical Institute, and to calculate the numerical coefficient values of these variables to be used by policy makers for investments. Research Methods: Two types of econometric models were used to determine the effective variables in migration. Outlier observations were detected, and their negative effects were corrected with the help of robust regression methods. This paper provides evidence of how outliers changed the statistics and test results. In addition, multicollinearity corrected estimates were calculated. Findings: The most significant variables in migration were the gross domestic product per capita and education variable. Using life satisfaction index values, educational and related migrations can be reduced. This paper also provides evidence of how outliers in data changed the statistically significant variables, estimates, normality and heteroscedasticity in the test results. Implications for Research and Practice: Migration can be reduced by increasing life satisfaction and lowering dissatisfaction in essential and non-essential municipality service variables. Using the methods in this paper and using future indices that are going to be published it is possible to take countermeasures for migration using models with higher explanatory power. [The issue number (90) shown on the PDF is incorrect. This correct issue number is 91.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01