## 5 Results and Discussions  
This section presents the results after georeferencing and mining the data and, also, after performing both binary logistic and modified Poisson regressions for all regions and, separately, with statistical results useful for testing the validity of the initial hypotheses. Moreover, an in-depth perspective is provided by taking into consideration all significant influences for a large set of variables. The results highlight, for the entire sample and each historical region, the main combined influences that are responsible for students' post-graduation intentions to migrate abroad. First of all, it is interesting to note the percentages of students in economics that express their clear intentions to leave the country of origin: 24% from those who study in Iasi, 17% from Cluj-Napoca, and 13% from Sibiu. In addition, our results reveal an overall probability of obvious migration intentions of approximately 19%, as a weighted average of the mean values of the outcome for all three university centres (Table 1). The geographical distribution of responses as an interactive queryable pushpin map of coordinates in Fusion Tables (Figure 1), of clear intention to migrate of students from all three university centres, was made starting from all records of the questionnaire (_Rows 1_ button--Figure 1). The precise coordinates of the respondents' residence were automatically extracted using a Google Maps API (application programming interface) and a powerful function, namely IMPORTXML from Google Sheets, e.g., =_IMPORTXML(\"[[http://maps.googleapis.com/maps/api/geocode/xml?address=](http://maps.googleapis.com/maps/api/geocode/xml?address=)]([http://maps.googleapis.com/maps/api/geocode/xml?address=](http://maps.googleapis.com/maps/api/geocode/xml?address=))\"&C2,\"/GeocodeResponse/location\"_). The referenced cells (all 3051 starting from C2) were used to store the full respondents' residence (e.g., \"Focsani, Vrancea, Romania\" as city/town/village, county/district and country). No API key was required when extracting these coordinates (July 2018). This map of coordinates shows the respondents' precise locations of origin, which cover a large portion of Romania and also places from Moldova (part of the former Romanian territory), and provides many filter possibilities corresponding to all variables originally considered for this study. In order to compute the average clear intention to migrate in Romanian counties of origin (97.31%--only Romanian students), we have started from synthetic data after pre-filtering on such counties. Then, we have created a pivot table with average values for this intention and count-based ones for the number of responses in each of all these counties. The resulting average clear intention to migrate in Romanian counties of origin ranged between 0 and 0.6. More, this secondary synthetic dataset may serve as a support for a new queryable map (heat map on counties of origin), if necessary. The general DM model (Figure 2) highlights the powerful effect of a variable associated with the question \"Migrating to Western Europe equals for you with the recognition of your personal value? Yes/No/I do not know\", from which we retained (variable _clear_eq_migrWEur_pers_val_recog_) only the clear conviction regarding this equivalence (\"Yes\" coded as 1, \"No\" and \"I do not know\" as 0). This variable's overwhelming influence, explainable by admitting the holistic nature of the corresponding question above, is also proven by a study on the migration enablers of Romanian students in theology [66] based on four hundred distinct responses. This strong influence is in line with an explanation offered by neoclassical macroeconomics, and mentioned in the review of [PERSON] et al. (1993), by successfully confirming the differences between the migration patterns of skilled workers compared to those of unqualified ones [67]. We have performed multicollinearity consecutive tests starting from all thirty variables (Table 1) originally considered in our entire dataset (all 3051 responses).