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Table 5 OLS regression for working hours per week, 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)

46.14***

38.51***

38.88***

27.90***

31.42***

31.23***

 

(2.28)

(5.51)

(5.50)

(4.30)

(4.73)

(4.75)

Migrated out of country

−7.02***

−7.21***

−6.19***

−1.40**

−1.38

−0.27

 

(1.24)

(1.23)

(1.37)

(0.93

(0.93)

(1.14)

Female

 

−1.62**

−1.61**

 

−2.42***

−2.42***

  

(0.81)

(0.81)

 

(0.31)

(0.31)

Age

 

0.46*

0.48*

 

−0.01

−0.01

  

(0.28)

(0.28)

 

(0.11)

(0.11)

Age_sq

 

−0.01*

−0.01**

 

0.00

0.00

  

(0.00)

(0.00)

 

(0.00)

(0.00)

High education

 

−0.94

−1.00

 

−1.89***

−1.91***

  

(0.90)

(0.90)

 

(0.35)

(0.35)

Low education

 

−1.49

−1.60

 

1.64

1.62

  

(2.69)

(2.68)

 

(1.37)

(1.37)

Log firm size

 

0.78*

0.75

 

0.10

0.10

  

(0.47)

(0.47)

 

(0.20)

(0.20)

Nurse

 

0.64

2.24*

 

1.44***

1.49***

  

(1.07)

(1.21)

 

(0.45)

(0.45)

Med. doctor

 

6.76***

5.72***

 

1.78***

1.94***

  

(1.53)

(1.72)

 

(0.46)

(0.47)

Nurse*outmigration

  

−6.43***

  

−1.83

   

(2.45)

  

(2.69)

Med. doctor*outmigration

  

3.73

  

−3.98*

   

(3.65)

  

(2.25)

Year controlled 2006–2014

Yes

Yes

Yes

Yes

Yes

Yes

R

0.212

0.291

0.308

0.138

0.193

0.194

Number

884

884

884

6276

6276

6276

  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 %