Download the report - Femise

More documents

Recommendations

Info

Appendix II: Calculations and tests related to <strong>the</strong> validation of <strong>the</strong> model ECE Countries Bulgaria Years m Relative wage H/H0 Theoretical gamma 0.43 1991 1.3% 12.76 1.30055145 1.73243252 1992 1.3% 12.76 1.30467736 1.74396915 1993 1.3% 12.76 1.30060633 1.7325857 1994 1.3% 12.76 1.30143016 1.73488613 1995 1.3% 12.76 1.30968771 1.7580334 1996 1.3% 12.76 1.30803936 1.75339979 H/H0 Theoretical gamma 0.75 H/H0 Observed 1997 1.4% 12.76 1.32564367 1.8032222 1.11 1998 1.4% 12.76 1.32170581 1.79201323 1.11 1999 1.4% 12.76 1.33580341 1.83231298 1.11 2000 1.5% 12.76 1.3629798 1.91134458 1.07 2001 1.5% 12.76 1.36506992 1.91749628 1.04 2002 1.6% 12.76 1.39142771 1.9959757 1.04 2003 1.9% 12.76 1.45635137 2.19643966 1.03 2004 2.0% 12.76 1.48330395 2.28266425 1.03 mean 1.34766271 1.87048397 1.06593392 st dev 0.05909255 0.17688049 0.037368131 p-value 3.9464E-08 1.3154E-06 t test 7.66085045 6.24420149 Years m Relative wage H/H0 Theoretical alpha 0.33 H/H0 Theoretical alpha 0.5 H/H0 Theoretical alpha 0.75 1991 1.3% 12.76 1.00710488 1.03056691 1.104848173 1992 1.3% 12.76 1.00719413 1.03095932 1.106221077 1993 1.3% 12.76 1.00710607 1.03057213 1.104866445 1994 1.3% 12.76 1.0071239 1.03065054 1.105140702 1995 1.3% 12.76 1.00730224 1.03143496 1.107886139 1996 1.3% 12.76 1.00726671 1.03127859 1.107338609 H/H0 Observed 1997 1.4% 12.76 1.00764462 1.03294339 1.113173218 1.11 1998 1.4% 12.76 1.00756039 1.032572 1.111870567 1.11 1999 1.4% 12.76 1.00786111 1.0338989 1.116527552 1.11 2000 1.5% 12.76 1.00843452 1.03643621 1.125454536 1.07 2001 1.5% 12.76 1.00847828 1.03663024 1.126138395 1.04 2002 1.6% 12.76 1.0090261 1.0390639 1.134729753 1.04 2003 1.9% 12.76 1.01034436 1.04495675 1.155642262 1.03 2004 2.0% 12.76 1.01087913 1.04736231 1.164223714 1.03 mean 1.00809475 1.03495187 1.120290082 1.065934 st dev 0.00122509 0.005446 0.019236172 0.037368 p-value 0.00344642 0.07299119 0.003867595 ! "&*!
t test 3.21788138 1.86856175 3.171343075 Czech Republic Years m Relative wage H/H0 Theoretical 1991 2.6% 4.24 2.65305163 1.342435 H/H0 Theoretical gamma 0.75 (gamma 0.43) 1992 2.6% 4.24 2.68809996 1.34774479 1.000873024 1993 2.5% 4.24 2.58178398 1.33148324 1.039250134 1994 2.4% 4.24 2.49351968 1.3176195 1.07688715 1995 2.3% 4.24 2.42854834 1.30719129 1.113482286 1996 2.3% 4.24 2.41969616 1.30575528 1.111757795 1997 6.9% 4.24 11.7270194 2.09369539 1.147602419 1998 2.3% 4.24 2.40611865 1.30354549 1.109591403 1999 2.3% 4.24 2.35824221 1.29568246 1.137181366 2000 2.1% 4.24 2.21520715 1.27149852 1.254898453 2001 2.2% 4.24 2.27379956 1.28153472 1.261372497 2002 1.9% 4.24 2.1019099 1.2515477 1.28271593 2003 2.1% 4.24 2.22840887 1.27377603 1.282841674 2004 2.6% 4.24 2.70320489 1.3500181 1.282841674 mean 3.09132931 1.36239482 1.161638139 st dev 2.49236225 0.21260965 0.099583659 p-value 0.01821113 0.00807396 t test 2.5200393 2.86876341 Years m Relative wage H/H0 Theoretical alpha 0.33 H/H0 Theoretical alpha 0.5 H/H0 Theoretical alpha 0.75 1991 2.6% 4.24 0.99632639 1.02402862 1.141508985 (gamma 0.43) 1992 2.6% 4.24 0.99626763 1.02435502 1.143562058 1.000873 1993 2.5% 4.24 0.99644745 1.02335162 1.137262529 1.03925 1994 2.4% 4.24 0.99660045 1.02248721 1.131863776 1.076887 1995 2.3% 4.24 0.99671534 1.02183146 1.127785567 1.113482 1996 2.3% 4.24 0.99673115 1.02174078 1.127222804 1.111758 1997 6.9% 4.24 0.98777122 1.06118566 1.402477203 1.147602 1998 2.3% 4.24 0.99675546 1.02160107 1.126356245 1.109591 1999 2.3% 4.24 0.99684193 1.02110214 1.123267269 1.137181 2000 2.1% 4.24 0.99710725 1.01955001 1.113711961 1.254898 2001 2.2% 4.24 0.99699726 1.0201974 1.117687467 1.261372 2002 1.9% 4.24 0.99732537 1.01824906 1.105765779 1.282716 2003 2.1% 4.24 0.9970823 1.01969733 1.114615388 1.282842 2004 2.6% 4.24 0.99624246 1.02449439 1.14443991 1.282842 mean 0.99608655 1.02456227 1.14696621 1.161638 st dev 0.00241597 0.01071029 0.074476178 0.099584 p-value 6.2529E-05 0.00032307 0.687666401 t test 4.76479466 4.14137824 0.406549042 ! "&"!
Page 1 and 2:
F E M I S E R E S E A R C H P R O G
Page 3 and 4:
What Can Be Learnt from the New Eco
Page 5 and 6:
AMGA: American Medical Group Associ
Page 7 and 8:
USA: United State of America WB: Wo
Page 9 and 10:
medical doctors are then free to en
Page 11 and 12:
elate to quality research and educa
Page 13 and 14:
This may concern also EU countries
Page 15 and 16:
discussed both in theory and practi
Page 17 and 18:
EU are then described and discussed
Page 19 and 20:
specialties. This study shows that
Page 21 and 22:
with this trade. Special arrangemen
Page 23 and 24:
into the developed countries; where
Page 25 and 26:
them as follow: Cross-border delive
Page 27 and 28:
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
Page 37 and 38:
annual living costs per student. Th
Page 39 and 40:
Lithuania 4.12 4.15 4.01 4.03 3.97
Page 41 and 42:
Egypt 67.57 68.86 70.17 71.52 72.89
Page 43 and 44:
observed externally from developing
Page 45 and 46:
Relative Wages : MIN MENA / By comp
Page 47 and 48:
No future, Heavy workload, to save
Page 49 and 50:
one-year qualification apprenticesh
Page 51 and 52:
Other European Countries Austria 4
Page 53 and 54:
one medical university and studies
Page 55 and 56:
includes a three-year vocational tr
Page 57 and 58:
has 18 medical universities and stu
Page 59 and 60:
général du Gouvernement to gradua
Page 61 and 62:
of Medical Science, Bachelor of Med
Page 63 and 64:
Egypt Iran 29463 31445 32134 25990
Page 65 and 66:
major policies and strategies relat
Page 67 and 68:
The aim of this sub-part is to prov
Page 69 and 70:
• What is the role of mobility of
Page 71 and 72:
Commonwealth of Independent states
Page 73 and 74:
Dodani and LaPorte (2005) suggest t
Page 75 and 76:
In regards to the mobility of Europ
Page 77 and 78:
The general conclusions of these th
Page 79 and 80:
Specific factors Impact of HIV/AIDS
Page 81 and 82:
Portugal X X Romania X X X Russian
Page 83 and 84:
Germany Italy Spain Lithuania Slova
Page 85 and 86:
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
Page 97 and 98:
Increases (respectively decreases)
Page 99 and 100:
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
Page 105 and 106:
empirical investigation focuses on
Page 107 and 108:
Table II.1.3.1: Country annual tren
Page 109 and 110:
Table II.1.3.2: Country annual tren
Page 111 and 112:
! ! C/D>)! 01::! 0103! 5881::7! E#%
Page 113 and 114:
"#$%&'!()*)+!Eurostat Database Abou
Page 115 and 116:
Using these parameter estimates, co
Page 117 and 118:
different websites for different co
Page 119 and 120:
the theoretical values of the relat
Page 121 and 122:
p-value 0.33 0.03 t test 0.99 2.25
Page 123 and 124:
The following set of graphs are the
Page 125 and 126:
The countries with higher number of
Page 127 and 128:
Turkey (m*=0.41, m**=0.77) Yemen (m
Page 129 and 130:
periods but should be concerned abo
Page 131 and 132:
health report “Comptes Nationaux
Page 133 and 134:
In accordance with the health insur
Page 135 and 136:
95 adults >15 years old per 100000
Page 137 and 138:
To achieve progress in the health s
Page 139 and 140:
The external problems comprise (1)
Page 141 and 142:
first four hospital universities ex
Page 143 and 144:
monitoring trends and economic fact
Page 145 and 146:
Other support staff 6300 2.11 2004
Page 147 and 148:
areas, the case of doctors who reti
Page 149 and 150:
areas of Morocco. It is computed ye
Page 151 and 152:
political instability, economic dep
Page 153 and 154:
1. Gender VS Intention to Migrate A
Page 155 and 156:
salaries differs according to the w
Page 157 and 158:
Results The results are given below
Page 159 and 160:
These results suggest that the numb
Page 161 and 162:
Finally, the questionnaire records
Page 163 and 164:
The past decades have witnessed an
Page 165 and 166:
changed the notion of space, where
Page 167 and 168:
implications on health, Huynen et a
Page 169 and 170:
Figure III.1.3: Social stratificati
Page 171 and 172:
Lee et al., (2007) primarily focus
Page 173 and 174:
However, Collins (203) does recogni
Page 175 and 176:
America. In Africa, where there are
Page 177 and 178:
physicians from Liberia practice in
Page 179 and 180:
Figure III.1.7: Migrant care worker
Page 181 and 182:
espectively. An interesting particu
Page 183 and 184:
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 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: A, B,C>0 and , , Then Demo 5: Sign
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
Page 287 and 288: ! "(&!
Page 289 and 290: ! "((!
Page 291 and 292: ! ")+!
Page 293 and 294: ! ")"!
Page 295 and 296: ! ")$!
Page 297: ! ")&!
show all

Download the report - Femise

Create successful ePaper yourself

Delete template?

Save as template?