Table 5.

Results from conditional logit model, including interactions with the age group of health professionals

	Model 3
	Coefficient	SE	P  > | z |
Salary	0.00007	0.00001	0.000
Salary*30–39 years old	−9.45e − 06	0.00002	0.535
Salary*40 and above	2.67e − 06	0.00002	0.861
Place of work: district capital	−0.47022	0.11351	0.000
Place of work: district capital*30–39 years old	−0.11078	0.16615	0.505
Place of work: district capital*40 and above	0.08731	0.14913	0.558
Place of work: provincial capital	−0.27954	0.08120	0.001
Place of work: provincial capital*30–39 years old	0.05551	0.10771	0.606
Place of work: provincial capital*40 and above	0.17654	0.10206	0.084
Housing	0.70908	0.07968	0.000
Housing*30–39 years old	−0.13419	0.10567	0.204
Housing*40 and above	−0.27447	0.09409	0.004
Access to a loan	0.28249	0.06594	0.000
Access to a loan*30–39 years old	0.05479	0.08769	0.532
Access to a loan*40 and above	0.01605	0.08234	0.845
Formal education	0.63018	0.09146	0.000
Formal education*30–39 years old	−0.14652	0.11634	0.208
Formal education*40 and above	−0.14095	0.11224	0.209
Skills development	0.36585	0.06287	0.000
Skills development*30–39 years old	−0.14554	0.08031	0.070
Skills development*40 and above	−0.07032	0.08063	0.383
Availability of equipment and medicine	0.43079	0.06908	0.000
Availability of equipment and medicine*30–39 years old	−0.04824	0.09643	0.617
Availability of equipment and medicine*40 and above	−0.09740	0.09032	0.281
Private practice	0.16709	0.05450	0.002
Private practice*30–39 years old	−0.11910	0.07083	0.093
Private practice*40 and above	−0.10244	0.07039	0.146
Constant	0.01077	0.03282	0.743
Number of groups	332
Number of observations	10 484
Log likelihood	−3 076.0471
Wald chi-square	749.65
Prob > chi-square	0.0000