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Table 4 OLS regression for log gross hourly wage, corrected for purchasing power parity (PPP), 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)

2.80***

0.56

0.55

2.06***

0.05

0.07

 

(0.19)

(0.44)

(0.44)

(0.38)

(0.37)

(0.38)

Migrated out of country

0.51***

0.48***

0.46***

0.65***

0.55***

0.75***

 

(0.11)

(0.10)

(0.11)

(0.09)

(0.08)

(0.10)

Female

 

−0.11*

−0.11*

 

−0.16***

−0.16***

  

(0.06)

(0.06)

 

(0.03)

(0.03)

Age

 

0.06***

0.06***

 

0.08***

0.07***

  

(0.02)

(0.02)

 

(0.01)

(0.01)

Age_sq

 

0.00*

0.00*

 

0.00***

0.00***

  

(0.00)

(0.00)

 

(0.00)

(0.00)

High education

 

0.56***

0.56***

 

0.49***

0.49***

  

(0.07)

(0.07)

 

(0.03)

(0.03)

Low education

 

−0.01

−0.10

 

0.09

0.07

  

(0.21)

(0.21)

 

(0.11)

(0.11)

Log firm size

 

0.20***

0.20***

 

0.09***

0.09***

  

(0.04)

(0.04)

 

(0.02)

(0.02)

Nurse

 

−0.10

−0.14

 

0.05

0.06

  

(0.09)

(0.10)

 

(0.04)

(0.04)

Med. doctor

 

0.27**

0.30**

 

0.54***

0.56***

  

(0.13)

(0.14)

 

(0.04)

(0.04)

Nurse*outmigration

  

0.15

  

−0.44*

   

(0.20)

  

(0.23)

Med. doctor*outmigration

  

−0.08

  

−0.68***

   

(0.29)

  

(0.20)

Year controlled 2006–2014

Yes

Yes

Yes

 

Yes

Yes

R

0.295

0.554

0.545

0.146

0.472

0.474

Number

736

736

736

5111

5111

5111

  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, year 2006
  2. *Significant at 10 %; **significant at 5 %; ***significant at 1 %