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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

Variables

Binomial logit

Binomial probit

Coefficient (se)

p-value

Coefficient (se)

p-value

Female

0.1284 (0.0331)

0.000

0.0802 (0.0193)

0.000

Age 15–34

Ref.

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 55–64

0.0800 (0.0621)

0.197

0.0461 (0.0355)

0.194

Age more than 64

0.2863 (0.0661)

0.000

0.1756 (0.0382)

0.000

Health very good

Ref.

Ref.

Ref.

Ref.

Health good

0.2958 (0.0574)

0.000

0.1598 (0.031)

0.000

Health fair

0.8103 (0.0635)

0.000

0.4718 (0.0354)

0.000

Health bad

1.0785 (0.0768)

0.000

0.6399 (0.0446)

0.000

Health very bad

1.1264 (0.1092)

0.000

0.6694 (0.0656)

0.000

Chronic

0.6672 (0.0485)

0.000

0.3667 (0.0265)

0.000

Inactive

Ref.

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 less

Ref.

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 SC

0.2088 (0.0583)

0.000

0.1126 (0.0329)

0.001

Medium-low SC

0.3629 (0.0606)

0.000

0.2043 (0.0345)

0.000

Low social class

0.4335 (0.0688)

0.000

0.2497 (0.0396)

0.000

Intercept

−1.728 (0.1005)

0.000

−1.0266 (0.0567)

0.000

Pseudo R2

0.0815

0.0818

N

22,450

22,450