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Coefficient de détermination R^2 0.967233 Observations 10 Coefficients Erreur-type Statistique t Probabilité Constante 12898.52 231.178 55.79484 1.18E-11 MD Number 684.6905 41.9285 16.32996 1.99E-07 Medical Doctor Migrants: Statistiques de la régression Coefficient de détermination R^2 0.9888 Observations 6 Coefficients Erreur-type Statistique t Probabilité Constante 1844.76 10.52565 175.26 6E-09 MD Migrants 73.00203 3.476507 20.999 3E-05 Total Population (Millions) : Statistiques de la régression Coefficient de détermination R^2 0.940188 Observations 16 Coefficients Erreur-type Statistique t Probabilité Constante 27.60011 0.310167 88.98455 1.12E-20 Total POP 0.385938 0.025081 15.38785 3.63E-10 Urban Population (as % of Total) : Statistiques de la régression Coefficient de détermination R^2 0.899513 Observations 16 Coefficients Erreur-type Statistique t Probabilité Constante 51.29743 0.629091 81.54214 3.79E-20 Variable X 1 0.591645 0.050869 11.63066 1.4E-08 Health Expenditures per Capita (PPP $): Statistiques de la régression Coefficient de détermination R^2 0.772873 ! "')!
Observations 5 Coefficients Erreur-type Statistique t Probabilité Constante 174.4 8.9073 19.579 0.0003 Health Expend. 13.9 3.63639 3.8225 0.0315 GDP per Capita (Current $) : Statistiques de la régression Coefficient de détermination R^2 0.925783 Observations 12 Coefficients Erreur-type Statistique t Probabilité Constante 938.0879 88.10076 10.6479 8.92E-07 GDP per Capita 159.5036 13.56735 11.75643 3.54E-07 GNI per Capita (PPP int. $) : Statistiques de la régression Coefficient de détermination R^2 0.986533 Observations 11 Coefficients Erreur-type Statistique t Probabilité Constante 2310 44.91764 51.42746 2E-12 GNI per Capita 205.6364 7.592466 27.08426 6.18E-10 Health Graduates (000s) : Statistiques de la régression Coefficient de détermination R^2 0.801822 Observations 6 Coefficients Erreur-type Statistique t Probabilité Constante 64.55167 62.82038 1.027559 0.362232 Health Graduates 38.795 8.419823 4.607579 0.009974 Appendix: II-2-3. A ! "(+!
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F E M I S E R E S E A R C H P R O G
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What Can Be Learnt from the New Eco
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AMGA: American Medical Group Associ
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USA: United State of America WB: Wo
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medical doctors are then free to en
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elate to quality research and educa
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This may concern also EU countries
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discussed both in theory and practi
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EU are then described and discussed
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specialties. This study shows that
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with this trade. Special arrangemen
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into the developed countries; where
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them as follow: Cross-border delive
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In this regard, the EU is suggestin
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Given the importance of health care
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Serbia. Low wages, poor working con
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• How does tertiary education wit
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Driouchi & Kadiri (2010) are promis
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annual living costs per student. Th
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Lithuania 4.12 4.15 4.01 4.03 3.97
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Egypt 67.57 68.86 70.17 71.52 72.89
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observed externally from developing
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Relative Wages : MIN MENA / By comp
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No future, Heavy workload, to save
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one-year qualification apprenticesh
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Other European Countries Austria 4
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one medical university and studies
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includes a three-year vocational tr
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has 18 medical universities and stu
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général du Gouvernement to gradua
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of Medical Science, Bachelor of Med
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Egypt Iran 29463 31445 32134 25990
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major policies and strategies relat
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The aim of this sub-part is to prov
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• What is the role of mobility of
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Commonwealth of Independent states
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Dodani and LaPorte (2005) suggest t
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In regards to the mobility of Europ
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The general conclusions of these th
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Specific factors Impact of HIV/AIDS
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Portugal X X Romania X X X Russian
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Germany Italy Spain Lithuania Slova
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Italy (2%) and Russia (4) in 2008 (
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theory assumes perfect transferabil
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The data available suggest potentia
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This chapter deals with the migrati
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networks and on the major channels
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assumed here that emigration decisi
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Increases (respectively decreases)
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Figure II.1.2: The shape of H as a
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The optimal emigration rate that ca
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Figure II.1.4: Effects of the Level
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empirical investigation focuses on
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Table II.1.3.1: Country annual tren
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Table II.1.3.2: Country annual tren
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! ! C/D>)! 01::! 0103! 5881::7! E#%
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"#$%&'!()*)+!Eurostat Database Abou
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Using these parameter estimates, co
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different websites for different co
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the theoretical values of the relat
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p-value 0.33 0.03 t test 0.99 2.25
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The following set of graphs are the
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The countries with higher number of
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Turkey (m*=0.41, m**=0.77) Yemen (m
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periods but should be concerned abo
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health report “Comptes Nationaux
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In accordance with the health insur
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95 adults >15 years old per 100000
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To achieve progress in the health s
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The external problems comprise (1)
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first four hospital universities ex
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monitoring trends and economic fact
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Other support staff 6300 2.11 2004
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areas, the case of doctors who reti
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areas of Morocco. It is computed ye
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political instability, economic dep
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1. Gender VS Intention to Migrate A
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salaries differs according to the w
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Results The results are given below
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These results suggest that the numb
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Finally, the questionnaire records
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The past decades have witnessed an
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changed the notion of space, where
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implications on health, Huynen et a
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Figure III.1.3: Social stratificati
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Lee et al., (2007) primarily focus
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However, Collins (203) does recogni
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America. In Africa, where there are
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physicians from Liberia practice in
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Figure III.1.7: Migrant care worker
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espectively. An interesting particu
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Table III.1.5: Supply of foreign (-
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Table III.1.6: Health care wages in
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Figure II.1.11: Factors affecting h
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Figure III.1.12: Factors contributi
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Table III.1.10: International Quali
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health as integral to wellbeing thr
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III.2.1 Need for A cooperative Fram
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graduate spends of certain number o
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III.2.2 Migration of Medical Doctor
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The convexity condition is simply a
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• A payoff vector (ai)i S is said
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III.2.2.2 Discussion and Public Pol
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Europe. Second, in the North Africa
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In the short run, the country of or
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great incentive for medical student
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system, and therefore to the rest o
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MENA countries could be moving to p
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of their medical school. The other
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Beine, M., Docquier, F. & Rapoport,
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German Medical Association.(2011).
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World Bank Database, 2007. World Ba
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http://gse.buffalo.edu/org/inthighe
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Berland, Y. (2002). Demographie des
Page 229 and 230: Gericke, C.A. (2006). Finance healt
Page 231 and 232: Salehi-Isfahani, D., Tunali, I., As
Page 233 and 234: Beine, M., Docquier, F. & Rapoport,
Page 235 and 236: Docquier, F., Lohest, O. & Marfouk,
Page 237 and 238: Labdelaoui, H. (2010). Les dimensio
Page 239 and 240: Stark, O. (1991), The Migration of
Page 241 and 242: WHO - World Health Organization (20
Page 243 and 244: Linacre, S. (2007). “Migration: p
Page 245 and 246: Challenging Inequities in Health: F
Page 247 and 248: Mullan, F. (2007). Doctors and Socc
Page 249 and 250: Vujicic M, Zurn P, Diallo K, Dal Po
Page 251 and 252: Collins, T. (2003). Globalization,
Page 253 and 254: Kana, M.A., (2009). From Brain Drai
Page 255 and 256: Sagoe, K. (2004). Using the Diaspor
Page 257 and 258: Sub-part II.1: Appendix I Appendice
Page 259 and 260: means that So if , then: > which is
Page 261 and 262: A, B,C>0 and , , Then Demo 5: Sign
Page 263 and 264: t test 3.21788138 1.86856175 3.1713
Page 265 and 266: Lithuania Years m Relative wage H/H
Page 267 and 268: Romania Years m Relative wage H/H0
Page 269 and 270: MENA Countries Risk Neutral Model C
Page 271 and 272: Tunisia Turkey 1993 0.1781 2.50 1.9
Page 273 and 274: Syria Tunisia Turkey Yemen Stand.de
Page 275 and 276: Morocco Syria Tunisia t-stat (theor
Page 277 and 278: Risk aversion model summary table C
Page 279: Table II-2-1.2: Projections of the
Page 283 and 284: Figure 4: Age distribution within r
Page 285 and 286: Figure 11: Migration conditions dis
Page 287 and 288: ! "(&!
Page 289 and 290: ! "((!
Page 291 and 292: ! ")+!
Page 293 and 294: ! ")"!
Page 295 and 296: ! ")$!
Page 297: ! ")&!
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