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Table 6 OLS regression for satisfaction with life as a whole: 1 = dissatisfied–10 = satisfied, unstandardized coefficients, standard error in brackets

From: Does migration ‘pay off’ for foreign-born migrant health workers? An exploratory analysis using the global WageIndicator dataset

 

4 African countries

5 Latin American countries

 

M1

M2

M3

M1

M2

M3

(Constant)

5.19***

4.91***

4.78***

7.46***

7.98***

7.85***

 

(0.49)

(1.17)

(1.17)

(0.78)

(0.86)

(0.87)

Migrated out of country

0.56**

0.54**

0.47

0.66***

0.64***

0.71***

 

(0.27)

(0.27)

(0.30)

(0.17)

(0.17)

(0.21)

Female

 

0.07

0.08

 

−0.26***

−0.26***

  

(0.17)

(0.17)

 

(0.06)

(0.06)

Age

 

−0.07

−0.07

 

−0.03

−0.03

  

(0.06)

(0.06)

 

(0.02)

(0.02)

Age_sq

 

0.00*

0.00*

 

0.00*

0.00

  

(0.00)

(0.00)

 

(0.00)

(0.00)

High education

 

0.72***

0.71***

 

0.23***

0.23***

  

(0.19)

(0.19)

 

(0.07)

(0.07)

Low education

 

0.08

0.07

 

−0.31

−0.30

  

(0.61)

(0.61)

 

(0.25)

(0.25)

Log firm size

 

0.32***

0.32***

 

−0.01

−0.01

  

(0.10)

(0.10)

 

(0.04)

(0.04)

Nurse

 

−0.27

−0.18

 

0.07

0.06

  

(0.22)

(0.25)

 

(0.08)

(0.08)

Med. doctor

 

−0.05

−0.41

 

0.25***

0.28***

  

(0.32)

(0.36)

 

(0.09)

(0.09)

Nurse*outmigration

  

−0.31

  

0.39

   

(0.53)

  

(0.51)

Med. doctor*outmigration

  

1.71**

  

−0.54

   

(0.78)

  

(0.41)

Year controlled 2006–2014

Yes

Yes

Yes

Yes

Yes

Yes

R

0.198

0.305

0.316

0.176

0.205

0.206

Number

841

841

841

6095

6095

6095

  1. Source: WageIndicator 2006–2014, selection health workers born in four African countries (Angola, Kenya, South Africa and Zimbabwe) and in five Latin American countries (Argentina, Brazil, Chile, Colombia and Mexico). Reference categories: middle education, all other healthcare occupations
  2. *Significant at 10 %; **significant at 5 %; ***significant at 1 %
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