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Table 3 Subgroup analysis

From: Physicians’ brain drain - a gravity model of migration flows

Sending regions / time period

Pseudo-Poisson Maximum Likelihood

(1)

(2)

(3)

(4)

(5)

Africa

Asia

Central and Eastern European countries

Before Economic crisis 2000–2006

During Economic crisis 2007–2012

Destination Controls

 Log Unemployment rate [t-1]

−1.627b (0.69)

−2.040c (0.18)

−1.221c (0.27)

−0.258 (0.65)

−2.074c (0.39)

 Log PISA Scorereading [t-1]

−3.543 (5.67)

15.252c (4.54)

9.973c (3.62)

7.349 (10.81)

−2.300 (7.15)

Dyadic Controls

 Log GDPo/GDPd [t-1]

1.372 (1.17)

0.200 (0.36)

2.204c (0.69)

0.090 (0.63)

2.652b (1.27)

 Log Diaspora [2000]

−0.533c (0.08)

0.573c (0.19)

0.353c (0.06)

0.457c (0.11)

0.461c (0.11)

 Log Distance

−0.880c (0.25)

0.026 (0.32)

−0.979c (0.20)

− 0.864c (0.12)

−0.629c (0.12)

 Colonial-tie dummy

2.478c (0.29)

1.360c (0.11)

−1.345c (0.21)

0.912c (0.17)

0.463b (0.18)

 Common language dummy

1.202c (0.29)

0.826c (0.24)

2.082c (0.13)

2.633c (0.16)

 Contiguity dummy

0.237 (0.56)

6.143c (0.91)

1.322c (0.23)

0.128 (0.26)

−0.178 (0.17)

 Both in EU

0.145 (0.18)

0.256 (0.21)

0.551c (0.18)

 Both in Schengen

0.028 (0.17)

1.193c (0.23)

0.475b (0.21)

Supply factors

 Log Remuneration of physicians [t-1]

9.001c (3.15)

4.789c (1.39)

−0.558 (1.40)

1.050 (1.88)

6.832a (3.81)

 Log Density Physicians per 1000 population [t-1]

−6.829c (1.92)

−3.253c (1.18)

−0.016 (1.11)

0.256 (1.36)

−6.352b (2.73)

 Log Medical Graduates per 100,000 population [t-1]

1.078 (0.84)

−0.222 (0.50)

1.580c (0.46)

0.398 (0.41)

2.621c (0.96)

 Log Medical Technology [t-1]

4.150c (1.08)

−0.220 (0.55)

1.784c (0.53)

1.012 (0.65)

3.071c (0.78)

Demand factors

 Log public health expenditures [t-1]

−1.844a (1.00)

−0.142 (0.54)

0.720 (0.73)

1.026 (1.30)

−3.593a (2.06)

 Log health insurance coverage [t-1]

−6.850a (4.14)

−10.029c (1.79)

2.184 (4.06)

−33.308 (47.68)

9.192 (11.07)

 Log Age dependency ratio, old [t-1]

−21.085c (6.81)

−0.458 (3.37)

4.225c (1.40)

8.003b (3.38)

−16.769c (5.74)

Log Hospital beds [t-1]

−4.016c (1.24)

−0.098 (0.38)

2.829c (0.97)

−3.089 (2.03)

1.227 (1.20)

 Destination FE

YES

YES

YES

YES

YES

 Origin-time FE

YES

YES

YES

YES

YES

 Number of clusters (destination*time)

168

153

196

54

78

 Observations

4193

4532

2495

6549

9726

 R-sqr

0.974

0.978

0.742

0.955

0.787

  1. The table reports PPML estimates of the determinants of international migration in the destination country on the inflow of medical doctors from Africa, Asia and Central and Eastern Europe. The dependent variable represents the number of foreign-trained physicians who have obtained a (partially or fully) registration to practice as medical doctor in the receiving country at time t
  2. Estimation period: 2000–2016
  3. Standard errors in parentheses are clustered by destination and time. a, b, c indicates significance at the 10, 5, and 1% level, respectively