This research aims to analyze the determinants of international student movements in higher education in Thailand using a regression model of the international student movement . The push and pull factors will apply with data access from 141 home countries, according to the number of all international students who studied in Thailand in 2017 . Multiple regression equations by using weighted least squares regression have been applied to solve the problem of variance stability of error terms, and the result of the hypotheses test may cause statistical bias. Even though the variables are continuity interval range and normal distribution under classical assumption as the traditional linear model , there is no relationship between the independent variables and has no problem crossing time mobility ( autocorrelation ) of the model that uses cross section data by using data in 2017 . Research results suggest that population of the home country, distance between the home and host countries and enrollment have a significant influence in international student mobility .
KeywordsEducational Trade in ServiceMobilityInternational StudentsThailand
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