Skip to main content

Table 5 Results from regressions

From: Wrong schools or wrong students? The potential role of medical education in regional imbalances of the health workforce in the United Republic of Tanzania

Variable

Model 1

Model 2

Model 3

Male student

0.116

0.142

0.153

 

(0.117)

(0.127)

(0.128)

>26 years

0.305**

0.368***

0.329**

 

(0.143)

(0.146)

(0.154)

Number of dependants

-0.045

-0.089

-0.087

 

(0.120)

(0.129)

(0.132)

Rural background

-0.056

-0.105

-0.144

 

(0.174)

(0.191)

(0.203)

Urban background (other than DSM)

0.245**

0.286***

0.284***

 

(0.110)

(0.112)

(0.112)

Schooling in rural area

0.005

-0.080

-0.031

 

(0.123)

(0.133)

(0.145)

Parents live in rural area

0.501***

0.557***

0.537***

 

(0.102)

(0.099)

(0.104)

Motivated by interest in medicine

 

0.016

0.022

  

(0.122)

(0.122)

Specialisation in medicine

 

-0.305

-0.299

  

(0.211)

(0.208)

Specialisation in public health

 

-0.505**

-0.501*

  

(0.250)

(0.263)

Community health service during studies

  

-0.342**

   

(0.163)

Fieldwork during studies

  

0.285

   

(0.262)

y = Pr (accept a job in a rural area)

0.614

0.616

0.629

Number of observations

106

106

106

LR chi2 (12)

24.91

28.47

31.28

Pseudo R2

0.174

0.199

0.219

Prob > Chi2

0.0008

0.0015

0.002

  1. The coefficients reported marginal effects as described in Section 2. Standard errors are given in brackets.
  2. The stars indicate the significance of the estimates (* 10% level, ** 5% level, *** 1% level).