## 5 Results and Discussions
When the regional models explain the clear intention to migrate in the Western countries after graduation only by considering the core variable, namely, the personal value recognition, the ROC values are still high (0.7271 for Iasi, 0.7536 for Cluj-Napoca, and 0.7402 for Sibiu) to validate it as the main influence having an overwhelming effect on the intention to migrate. In the final scenario--(c), all three regional models have higher ROC values (0.7816 for Iasi, 0.8073 for Cluj-Napoca, and 0.8667 for Sibiu), which means, at least for the latter two, that they have a good accuracy (ROC \(>\) 0.8) as solid argument for their consistency. When performing both the deviance and Pearson goodness-of-fit tests for the Poisson regression with robust standard errors for the overall model (all 3051 records and the cleaned set of eighteen independent variables filtered using a VIF based approach), we get results (Prob \(>\) chi2) with high values (1 in both cases), indicating that we cannot reject the hypothesis that data are Poisson distributed. In the case of the logistic regression for the same aforementioned overall model, the Pearson goodness-of-fit test also returns high values (\(\sim\)0.23) indicating that our model fits reasonably well. The skewness test of variables in the overall model rejects the null hypothesis of normality (Pr values below 0.01 in all cases). The skewness values are, in all cases, outside the range of (\(-\)0.5, 0.5), indicating a moderately or even highly skewed distribution. Still, asymmetry is not a matter of concern, since both the binary logistic regression [72] and the Poisson regression with robust standard errors (the latter as a generalised linear model form of regression analysis) [73] are proven to be robust when using non-normal data. Both overall regressions reveal, again, the most powerful and significant influence (positive) of the core variable corresponding to the recognition of the personal value and, also, the one of the individual freedom as cause of progress. The secondary influences as significance which result from both overall regressions correspond to the parental role models (both parents gone abroad for at least twelve months--positive), high belief in [PERSON] (internal religiosity--negative), and family income level (negative, although with a considerably lower magnitude). Finally, we should mention the less significant positive influences associated with the attitudes towards the communist past as an important factor of migration, and the strong connections as the only way to succeed in career in the native country. Next, we emphasise the main limitations of this paper. Firstly, because we have analysed only the clear intentions to migrate after graduation, we cannot say precisely if they will materialise in the near future. Secondly, because we have observed only the students in economics, further research is needed in order to test if these influences are viable in other professionally heterogeneous contexts. In addition, because these surveyed students usually have fewer responsibilities and duties, they may have stronger intentions to leave the country for better jobs or higher standards of living [10]. Moreover, we have not studied, yet, the influence of the respondents' location of origin, by taking into account the criterion of the placement of this location in a territory which, until one hundred years ago, was part of the former Habsburg Empire [74]. This element that could have contributed to profound differences in terms of behaviour, and economic development will be the subject of future research focused on the role of this historical border and its proximity.