## 5 Results and Discussions
\begin{table}
\begin{tabular}{c c c c c c c} \hline \multirow{2}{*}{**Variables**} & \multicolumn{3}{c}{**Logit Regression**} & \multicolumn{3}{c}{**Poisson Regression with Robust Standard Errors**} \\ \cline{2-7}  & **(a)** & **(b)** & **(c)** & **(d)** & **(e)** & **(f)** \\ \hline _clear\_eq\_migrWEur\_pers\_val\_roog_ & 2.216 *** & 2.320 *** & 2.169 *** & 1.815 *** & 1.864 *** & 1.555 *** \\  & (0.328) & (0.340) & (0.374) & (0.267) & (0.264) & (0.272) \\ \hline _Urban_ & & 0.438 & 0.32 & & 0.318 & 0.173 \\  & (0.372) & (0.403) & & (0.275) & (0.270) \\ \hline _income\_lvl_ & & \(-\)0.0998 & \(-\)0.18 & & \(-\)0.0717 & \(-\)0.122 \\  & (0.100) & (0.110) & & (0.069) & (0.075) \\ \hline _no\_of\_sibl_ & & 0.0867 & 0.101 & & 0.0613 & 0.0465 \\  & (0.162) & (0.189) & & (0.120) & (0.131) \\ \hline _both\_p\_gone\_abrad_ & & \(-\)0.268 & \(-\)0.111 & & \(-\)0.179 & \(-\)0.039 \\  & (0.359) & (0.606) & & (0.362) & (0.339) \\ \hline _only\_m\_gone\_abrad_ & & \(-\)0.155 & \(-\)0.274 & & \(-\)0.116 & \(-\)0.117 \\  & (0.577) & (0.609) & & (0.435) & (0.381) \\ \hline _only\_d\_gone\_abrad_ & & 0.0174 & 0.0523 & & 0.0211 & 0.0826 \\  & (0.437) & (0.478) & & (0.304) & (0.332) \\ \hline _open_ & & \(-\)0.252 & & & \(-\)0.135 \\  & & (0.439) & & & (0.274) \\ \hline _inclined\_to\_exact\_sci_ & & \(-\)0.776 ** & & & \(-\)0.495 * \\  & & (0.368) & & (0.255) \\ \hline _high\_believe\_in\_[PERSON]_ & & 0.176 & & & 0.151 \\  & (0.441) & & & (0.294) \\ \hline _secular_ & & 1.371 ** & & & 1.034 ** \\  & (0.612) & & & (0.421) \\ \hline _indiv\_lib\_clear\_cause\_of\_progr_ & & 1.313 *** & & & 0.994 * \\  & & (0.500) & & & (0.407) \\ \hline _accept\_or\_doubts\_about\_bribe_ & & 0.507 & & & 0.388 \\  & (0.508) & & & (0.331) \\ \hline _only\_strong\_commcl\_acc\_in_ & & 0.638 * & & & 0.420 * \\  & (0.365) & & & (0.255) \\ \hline \end{tabular}
\end{table} 
Table 4: Raw coefficients (Logit vs. Poisson) of the model based on responses from FSE, ULBS (Sibiu). \begin{table}
\begin{tabular}{c c c c} \hline \multirow{2}{*}{**Variables**} & \multicolumn{3}{c}{**Logit Regression**} & \multicolumn{3}{c}{**Poisson Regression with Robust Standard Errors**} \\ \cline{2-4}  & **(a)** & **(b)** & **(c)** & **(d)** & **(e)** & **(f)** \\ \hline _indiv\_lib\_clear\_cause\_of\_progr_ & & 0.504 ** & & 0.333 ** \\  & & (0.205) & & (0.141) \\ \hline _accept\_or\_doubts\_about\_bribe_ & & \(-\)0.161 & & \(-\)0.0911 \\  & & (0.249) & & (0.175) \\ \hline _only\_strong\_commcl\_acc\_in_ & & 0.334 ** & & 0.222 ** \\  & & (0.165) & & (0.103) \\ \hline _communist\_past\_migr\_cause_ & & 0.229 & & 0.145 \\  & & (0.165) & & (0.104) \\ \hline _injust\_in\_soc\_migr\_cause_ & & \(-\)0.0126 & & 0.00607 \\  & & (0.167) & & (0.106) \\ \hline _legend\_work\_ethic\_migr\_cause_ & & \(-\)0.278 & & \(-\)0.179 \\  & & (0.194) & & (0.127) \\ \hline _excessive\_bureaucracy\_migr\_cause_ & & 0.263 & & 0.168 \\  & & (0.170) & & (0.110) \\ \hline _CONSTANT_ & \(-\)2.440 *** & \(-\)2.465 *** & \(-\)2.683 *** & \(-\)2.524 *** & \(-\)2.536 *** \\  & (0.105) & (0.258) & (0.405) & (0.096) & (0.187) & (0.267) \\ \hline _Observations_ & 1564 & 1501 & 1501 & 1564 & 1501 & 1501 \\ \hline _LR chi2(df)\(\mid\)Wald chi2(df)_ & 287.33 & 282.8 & 310.91 & 283.37 & 313.58 & 394.49 \\ \hline _df_ & 1 & 7 & 18 & 1 & 7 & 18 \\ \hline _Prob \textgreater{} chi2_ & 0.0000 & 0.0000 & 0.0000 & 0.0000 & 0.0000 \\ \hline _Pseudo R square_ & 0.2006 & 0.2058 & 0.2262 & 0.1489 & 0.1517 & 0.1645 \\ \hline _AUC(ROC)_ & 0.7536 & 0.7863 & 0.8073 & N/A & N/A \\ \hline \end{tabular}
\end{table} 
Table 3: _Cont._Table 2 contains the raw coefficients used to analyse the influences on the migration intentions after graduation for students in economics from FEAA, UAIC, Iasi. In the baseline specification (a) or (d), we have included, in this regional model (Table 2), only the core variable _clear_eq_migrWEur_pers_val_recog_, which remains strong and highly significant along all consecutive scenarios--(a) to (c) and (d) to (f).