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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).