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Appendices to II.2. Table II-2-1.1: Projections of <strong>the</strong> first set of variables Years MD Retirement MD Migration MD Number Period MD Addition Total POP (Millions) POP density / sq. Km of land Physician / 10000 people 1999 316 1842 12647 28.5 63.8 4.4 2000 326 1905 13045 2556 28.8 64.6 4.5 2001 358 1998 14314 3501 29.2 65.4 4.9 2002 374 2085 14970 3012 29.5 66.1 5.1 2003 408 2137 16307 3796 29.8 66.8 5.5 2004 419 2197 16775 3012 30.2 67.6 5.6 2005 801 2283 17188 3029 30.5 68.3 5.6 2006 443 2356 17716 3611 30.9 69.1 5.7 2007 457 2429 18269 3352 31.2 70.0 5.9 2008 477 2502 19061 3677 31.6 70.8 6.0 2009 481 2575 19250 3168 32.0 71.7 6.0 2010 511 2648 20430 4236 32.4 72.6 6.3 2011 528 2721 21115 3843 32.6 73.1 6.5 2012 545 2794 21800 3933 33.0 73.9 6.6 2013 562 2867 22484 4023 33.4 74.8 6.7 2014 579 2940 23169 4114 33.8 75.7 6.9 2015 596 3013 23854 4204 34.3 76.9 7.0 2016 613 3086 24538 4294 34.5 77.4 7.1 2017 631 3159 25223 4384 34.9 78.3 7.2 2018 648 3232 25908 4474 35.3 79.1 7.3 2019 665 3305 26592 4564 35.7 80.0 7.4 2020 682 3378 27277 4654 36.2 81.1 7.5 2021 699 3451 27962 4744 36.5 81.7 7.7 2022 716 3524 28646 4835 36.9 82.6 7.8 2023 733 3597 29331 4925 37.2 83.5 7.9 2024 750 3670 30016 5015 37.6 84.3 8.0 2025 768 3743 30700 5105 38.0 85.2 8.1 2026 785 3816 31385 5195 38.4 86.1 8.2 2027 802 3889 32070 5285 38.8 86.9 8.3 2028 819 3962 32755 5375 39.2 87.8 8.4 2029 836 4035 33439 5465 39.6 88.6 8.5 2030 853 4108 34124 5555 40.0 89.5 8.5 ! "''!
Table II-2-1.2: Projections of <strong>the</strong> second set of variables Years Urban POP (% of total pop) Health Expend./ Capita (PPP $) GDP per Capita (Current US $) GNI / capita (PPP int. $) Graduates in Health (000s) 1999 55.3 160.5 1380.9 2460.0 65 2000 53.3 174.0 1270.3 2510.0 103 2001 53.6 199.0 1278.7 2730.0 181 2002 54.0 186.0 1353.6 2840.0 181 2003 54.3 218.0 1649.2 3060.0 220 2004 54.7 234.0 1863.0 3270.0 259 2005 55.0 243.9 1924.1 3450.0 251 2006 55.3 257.8 2096.1 3790.0 263 2007 55.7 271.7 2372.8 3980.0 407 2008 56.0 285.6 2768.7 4230.0 444 2009 56.4 299.5 2795.2 4400.0 471 2010 58.2 313.4 2852.1 4572.0 491 2011 59.0 327.3 3011.6 4777.6 530 2012 59.6 341.2 3171.1 4983.3 569 2013 60.2 355.1 3330.6 5188.9 608 2014 60.8 369.0 3490.1 5394.5 646 2015 61.4 382.9 3649.6 5600.2 685 2016 61.9 396.8 3809.2 5805.8 724 2017 62.5 410.7 3968.7 6011.5 763 2018 63.1 424.6 4128.2 6217.1 802 2019 63.7 438.5 4287.7 6422.7 840 2020 64.3 452.4 4447.2 6628.4 879 2021 64.9 466.3 4606.7 6834.0 918 2022 65.5 480.2 4766.2 7039.6 957 2023 66.1 494.1 4925.7 7245.3 996 2024 66.7 508.0 5085.2 7450.9 1034 2025 67.3 521.9 5244.7 7656.5 1073 2026 67.9 535.8 5404.2 7862.2 1112 2027 68.5 549.7 5563.7 8067.8 1151 2028 69.0 563.6 5723.2 8273.5 1190 2029 69.6 577.5 5882.7 8479.1 1228 2030 70.2 591.4 6042.2 8684.7 1267 Table II-2-1.3: Regressions Results for Trends of Key Variables: Medical Doctor Number : Statistiques de la régression ! "'(!
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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
Page 227 and 228: 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: Risk aversion model summary table C
Page 281 and 282: Observations 5 Coefficients Erreur-
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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