## 3 Main Hypotheses
\[\text{Logit}(\text{p})=\ln\left(\frac{\text{p}}{1-\text{p}}\right)=\beta_{0}+ \beta_{1}*\text{clear\_eq\_migrWEur\_pers\_val\_recog}+\sum_{\text{j}=2}^{\text {m}}\beta_{\text{j}}*\text{X}_{\text{j}}+\epsilon, \tag{1}\]  
where:  
* p is the probability of migrating in Western Europe after graduation;
* \((1-\text{p})\) is the probability of not migrating in Western Europe after graduation;
* \(\text{p}/(1-\text{p})\) represents the odds of migrating in Western Europe after graduation;
* \(\text{j}=2,\ldots,\text{m}\) and \(\text{m}=\text{the total number of independent variables}\);
* \(\beta_{\text{j}}\) measures the effect of a change in variable \(\text{X}_{\text{j}}\) on the probability of migrating;
* \(\text{clear\_eq\_migrWEur\_pers\_val\_recog}\) represents the core variable and it has the value of 1 only if the respondent clearly considers (excluding \"I do not know\") that the migration to Western Europe is equivalent to the recognition of his personal value, mostly a non-pecuntiary variable;
* \(\text{X}_{\text{j}}\) is one explanatory variable (Equation (1)) from the array (\(\sum\)) of the following family and individual characteristics (Table 1):
* respondent mother's (_m_edu_) and father's education (_d_edu_) measured as number of school years (from 4 to 22);
* severity level for the respondent's parents (_parental_sev_lvl_) measured on a 1 to 10 scale;
* a respondent coming from an urban location (_urban_), coded as 1 for Yes and 0 for No;
* income level of the family (_income_lvl_), measured on a 1 to 7 scale, each value being associated to the following intervals: under 1500 RON, 1500-2500,..., 5500-6500 and more than 6500 RON;
* respondent's number of siblings (_no_of_sibl_), measured on a 0 to 6 scale, where the values from 0 to 5 indicate the actual number of siblings and 6 indicates more than 5;
* respondent's parents gone abroad at least for one year (_both_p_gone_abroad_, _only_m_gone_abroad_, _only_d_gone_abroad_), all three coded as 1 for Yes and 0 for No;
* age of the respondent (_age_);
* respondent's presence of personality traits, namely, agreeableness (_agreeable_--evaluated as logical reunion of four options regarding the question concerning the values inherited from parents, namely, good manners, tolerance and respect for other people, obedience, and altruism), conscientiousness (_consci_--evaluated as logical reunion of three options regarding the same question, namely, hard work, responsibility, and perseverance) and openness (_opm_--evaluated as logical reunion of two options regarding the same question, namely, independence and creativity), all coded as 1 for Yes and 0 for No;
respondent's inclination to exact sciences (_inclined_to_exact_sci_), coded as 1 for Yes and 0 for No;
* individual beliefs and attitudes: 1. considerations regarding personal/internal religiosity (_high_believe_in_[PERSON]_), coded as 1 for Yes (corresponding to the first two answer options, \"very much so\" and \"quite a bit\", for the following question \"In which way do you believe in the existence of [PERSON] or a divinity?\"), and 0 for No (corresponding to the answer options: \"Moderately\", \"Not very much\" and \"Not at all\");
2. considerations about social religious behaviour/external religiosity (low frequency of church attendance--_secular_), coded as 1 for Yes (options: \"Few times a year\", \"Less often\" and \"Never\") and 0 for No (for the first two answer options: \"More than once a week/Once a week\" and \"One to three times a month\" of the question \"How often do you participate to religious services?\");
3. interpersonal trust level, measured on a 0 to 5 scale (_interpers_trust_lvl_);
4. considerations regarding economic and institutional issues as dummy variables: the private sector nature of a future career (_priv_), labour as source of success in life and society (_lab_success_source_), individual freedom as cause of progress (_indiv_lib_clear_cause_of_progr_), parental role in children's future (_p_cl_asum_resp4 child_future_), attitude towards bribe (_accept_or_doubts_about_bribe_), and strong connections as the only way to succeed in career/accomplish a career in the native country (_only_strong_conndcl_acc_in_);
5. four possible causes of migration, also coded as 1 for Yes and 0 for No: communist past (_communist_past_migr_cause_), injustice in society (_injust_in_soc_migr_cause_), corrupted/degraded work ethic (_degrad_work_ethic_migr_cause_), and excessive bureaucracy (_excessive_bureaucracy_migr_cause_);
* \(\varepsilon\) represents the error term.