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Table 2 Estimates of binomial logit and probit models

From: Horizontal equity in access to public GP services by socioeconomic group: potential bias due to a compartmentalised approach

VariablesBinomial logitBinomial probit
Coefficient (se)p-valueCoefficient (se)p-value
Female0.1284 (0.0331)0.0000.0802 (0.0193)0.000
Age 15–34Ref.Ref.Ref.Ref.
Age 35–44−0.0742 (0.0647)0.251−0.0429 (0.0361)0.234
Age 45–54− 0.0701 (0.0635)0.269− 0.0413 (0.0357)0.248
Age 55–640.0800 (0.0621)0.1970.0461 (0.0355)0.194
Age more than 640.2863 (0.0661)0.0000.1756 (0.0382)0.000
Health very goodRef.Ref.Ref.Ref.
Health good0.2958 (0.0574)0.0000.1598 (0.031)0.000
Health fair0.8103 (0.0635)0.0000.4718 (0.0354)0.000
Health bad1.0785 (0.0768)0.0000.6399 (0.0446)0.000
Health very bad1.1264 (0.1092)0.0000.6694 (0.0656)0.000
Chronic0.6672 (0.0485)0.0000.3667 (0.0265)0.000
InactiveRef.Ref.Ref.Ref.
Employed−0.1512 (0.0516)0.003−0.0871 (0.0299)0.004
Unemployed−0.0262 (0.0653)0.688−0.0163 (0.038)0.669
Primary studies or lessRef.Ref.Ref.Ref.
Obligatory Secondary studies−0.0742 (0.0455)0.103−0.0472 (0.027)0.080
Occupational training or pre-university studies−0.1419 (0.0542)0.009−0.0853 (0.0317)0.007
University studies−0.2043 (0.0662)0.002−0.1149 (0.0381)0.003
High social class (SC)Ref.Ref.Ref.Ref.
Medium-high SC0.2088 (0.0583)0.0000.1126 (0.0329)0.001
Medium-low SC0.3629 (0.0606)0.0000.2043 (0.0345)0.000
Low social class0.4335 (0.0688)0.0000.2497 (0.0396)0.000
Intercept−1.728 (0.1005)0.000−1.0266 (0.0567)0.000
Pseudo R20.08150.0818
N22,45022,450