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Halek, M. & Eisenhauer, J. G. (2001). Demography of Risk Aversion. The Journal of Risk and Insurance, 68(1), 1-24. Harris, B., Floud, R., Fogel, R. & Chul Hong, S. (2010). Diet, Health and Work Intensity in England and Wales, 1700-1914. NBER Working Papers 15875, National Bureau of Economic Research. Harrison, G. W., Lau, M.I. & Rutström, E. E. (2007). Estimating Risk Attitudes in Denmark: A Field Experiment. Scandinavian Journal of Economics, Blackwell Publishing, 109(2), 341-368. Hartley, R., Lanot, G. & Walker, I. (2005). Who Really Wants to be a Millionaire: Estimates of Risk Aversion from Game Show Data. Working Paper, Department of Economics, University of Warwick. Human Development Report (2005). International cooperation at a crossroads- Aid, trade and security in an unequal world. United Nations Development Programs (UNDP). Jouni, H. (2010). La Migration hautement qualifiée au Liban. CARIM Analytic and Synthetic Notes 2010/23, Highly-Skilled Migration Series. Retrieved from http://cadmus.eui.eu/dspace/handle/1814/13677 Khachani, M. (2010). La migration des personnes hautement qualifiées : le cas du Maroc. CARIM Analytic and Synthetic Notes 2010/37, Highly-Skilled Migration Series. Retrieved from: http://cadmus.eui.eu/dspace/handle/1814/13689 Khawaja, M.(2010). Highly-skilled migration into, through and from the southern and eastern Mediterranean and sub Saharan Africa. The case of Palestine. CARIM Analytic and Synthetic Notes 2010/30 Highly-Skilled Migration Series. Retrieved from http://cadmus.eui.eu/dspace/handle/1814/13684 Kiwan, F. (2008). La migration de transit au Liban. CARIM-RR 2009/05. Retrieved from http://cadmus.eui.eu/dspace/handle/1814/10791 ! "#%!
Labdelaoui, H. (2010). Les dimensions socio-politiques de la migration hautement qualifiée en Algérie CARIM Analytic and Synthetic Notes 2010/24, Highly-Skilled Migration Series. Retrieved from: http://cadmus.eui.eu/dspace/handle/1814/13678 Labor productivity and unit labor costs (2006). Key indicators of the labor market. International Labor Organization. Laschinger, H.K.S., & Finegan, J. (2005). Using Empowerment to Build Trust and Respect in the Workplace: A Strategy for Addressing the Nursing Shortage. Nursing Economics, 23(1), 6-13. Lodigiani, E. (2009). Diaspora Externalities as a Cornerstone of the New Brain Drain Literature. CREA Discussion Paper Series 09-03, Center for Research in Economic Analysis, University of Luxembourg. Maghur, A. (2010). Highly-skilled Migration (Libya): Legal aspects. CARIM Analytic and Synthetic Notes 2010/31, Highly-Skilled Migration Series. Retrieved from http://cadmus.eui.eu/dspace/handle/1814/13685 Marchiori, Luca, I-Ling Shen and Frédéric Docquier (2010). “Brain Drain in Globalization: A General Equilibrium Analysis from the Sending Countries’ Perspective,” Work in progress, reprint submitted to the Economic Journal, January, 2010. Marzouk, M. (2010). L’émigration syrienne hautement qualifiée : les enjeux sociopolitiques. CARIM Analytic and Synthetic Notes 2010/25, Highly-Skilled Migration Series. Retrieved from: http://cadmus.eui.eu/dspace/handle/1814/13679 McNeely, C. L. & Camacho, E. (2010). Conceptualizing STEM Workforce Migration in the Modern World Polity. GMU School of Public Policy Research Paper No. 2010- 10. Mountford, A. (1997). Can a Brain Drain be Good for Growth in the Source Economy? Journal of Development Economics, Elsevier, 53(2), 287-303. ! "#&!
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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
Page 29 and 30:
Given the importance of health care
Page 31 and 32:
Serbia. Low wages, poor working con
Page 33 and 34:
• How does tertiary education wit
Page 35 and 36:
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
Page 71 and 72:
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 (
Page 87 and 88:
theory assumes perfect transferabil
Page 89 and 90:
The data available suggest potentia
Page 91 and 92:
This chapter deals with the migrati
Page 93 and 94:
networks and on the major channels
Page 95 and 96:
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
Page 101 and 102:
The optimal emigration rate that ca
Page 103 and 104:
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
Page 115 and 116:
Using these parameter estimates, co
Page 117 and 118:
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 (-
Page 185 and 186: Table III.1.6: Health care wages in
Page 187 and 188: Figure II.1.11: Factors affecting h
Page 189 and 190: Figure III.1.12: Factors contributi
Page 191 and 192: Table III.1.10: International Quali
Page 193 and 194: health as integral to wellbeing thr
Page 195 and 196: III.2.1 Need for A cooperative Fram
Page 197 and 198: graduate spends of certain number o
Page 199 and 200: III.2.2 Migration of Medical Doctor
Page 201 and 202: The convexity condition is simply a
Page 203 and 204: • A payoff vector (ai)i S is said
Page 205 and 206: III.2.2.2 Discussion and Public Pol
Page 207 and 208: Europe. Second, in the North Africa
Page 209 and 210: In the short run, the country of or
Page 211 and 212: great incentive for medical student
Page 213 and 214: system, and therefore to the rest o
Page 215 and 216: MENA countries could be moving to p
Page 217 and 218: of their medical school. The other
Page 219 and 220: Beine, M., Docquier, F. & Rapoport,
Page 221 and 222: German Medical Association.(2011).
Page 223 and 224: World Bank Database, 2007. World Ba
Page 225 and 226: 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: Docquier, F., Lohest, O. & Marfouk,
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 and 280: Table II-2-1.2: Projections of the
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
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! "(&!
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