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Brain Drain

Brain Drain. Understanding the Sources. The Project Team. Agenda. Literature Review Problem Statement Project Goals Data Sources and Indicators Methodology Results Recommendations. Literature Review. Brain Drain 1

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Brain Drain

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  1. Brain Drain Understanding the Sources

  2. The Project Team

  3. Agenda • Literature Review • Problem Statement • Project Goals • Data Sources and Indicators • Methodology • Results • Recommendations

  4. Literature Review • Brain Drain1 • “the cross-border movement of highly skilled persons who stay abroad for a longer period of time” • Highly skilled persons have or are working towards a university degree 1 International Organization for Migration. World Migration 2003: Linkages between Brain Drain, Labour Migration and Remittances in Africa. 2003.

  5. Literature Review

  6. Literature Review

  7. Literature Review • Woldetensae • 12 ways to control Brain Drain

  8. Problem Statement • Why are these solutions not working? • Researchers indicate financial motivation • Hypothesis: The true sources of brain drain may not have been properly identified. • Governance?

  9. Project Goals

  10. Data Sources and Indicators

  11. Data Sources and Indicators • Brain Drain Database • Brain Drain Country • Brain Gain Country • Total • Primary • Secondary • Tertiary • No_Answer

  12. Data Sources and Indicators • Worldwide Governance Indicators Database • Voice and Accessibility • Political Stability and Absence of Violence • Government Effectiveness • Regulatory Quality • Rule of Law • Control of Corruption

  13. Data Sources and Indicators • World Economic Outlook Database • Inflation • Gross domestic product, current prices • Purchasing Power Parity • Population • Unemployment Rate

  14. Data Sources and Indicators • Common year: 2000 • Only “tertiary” migration considered

  15. Methodology Multi-collinearityAmong Independent Variables

  16. Results • Expected Results • Actual Results

  17. Results • There is statistical significance for 5 out of the 6 variables • However the correlation is small • Opposite of expected correlation value • Shows that the education population migrates when governance indicators are positive

  18. Results • No metrics are statistically significant • Expect governance indicators to be positive to attract educated talent • Perhaps reasoning for Brain Drain is more economic than governmental

  19. Results • Two variables are statistically significant • Strong correlation for GDP and Population • Countries that attract educated migrants have strong GDP and larger populations • Intuitive, strong economy attracts a talented workforce • Larger population size accepts more educated migrants

  20. Recommendations Addressing Woldetensae’s Factors • Push • Lack of jobs • low pay • unsatisfactory living and working conditions • limited career opportunities • low prospect of professional development • poor social conditions • Pull • Better job opportunities • flexible career paths • higher pay • good working conditions • prospects for professional development • Political stability

  21. Address through Policy • Push • Pull Recommendations • Brain Drain

  22. Recommendations • Develop industries that support an educated workforce • Jobs that compensate competitively will retain talent • Enact provisions to retain talent within borders • Synergy created where educated workforce drives economy to flourish

  23. Appendix

  24. Methodology • Multi-collinearity among independent variables

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