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Table 3 Estimation results of seemingly unrelated regression model (SUR) and ordinary least square (OLS): sedentary behaviour

From: Different conceptual constructs for modelling sedentary behaviour and physical activity: the impact on the correlates of behaviour

Explanatory variables

Sedentary behaviour

 
 

OLS

SUR

% difference in SE (SUR vs. OLS)

 

Coef. (ME) a

SE b

Coef. (ME) a

SE b

 

Age

2.150 (0.219)***

0.325

2.239 (0.253)***

0.315

3.25

Sex

     

 Malesc

     

 Females

−30.439(−30.439)***

6.226

−32.612(−30.166)***

6.105

1.98

Educational qualification

     

No qualification c

     

 Degree equivalent

52.937(52.937)***

10.924

53.544(47.168)***

10.472

4.29

 Higher education below degree

30.421(30.421)

10.656

31.813(23. 752)

10.206

4.40

 ‘A’/‘0’ level/NVQ

11.724(11.724)

8.954

14.274(15. 429)

8.553

4.69

 Other qualification

3.658(3.658)

12.213

3.135(2.859)

12.006

1.72

Health status

     

 Limiting illnessc

     

 Non-limiting illness

−17.590(−17.590)

7.960

−14.058(−14.351)

7.594

4.82

 No illness

−25.601(−25.601)***

6.774

−26.444(−22.749)***

6.710

0.96

Smoking status

     

 Non-smokerc

     

 Former smoker

6.512(6.512)

6.851

2.999(0.218)

6.589

3.97

 Smokers

−24.422(−24.422)**

9.383

−29.638(−25.870)**

9.050

3.68

 Constant

393.172***

27.129

393.525***

26.778

1.31

 Observations

2289

 

2268

  
  1. aCoefficient (Marginal Effects/Elasticity); bStandard Error; cOmitted category; Significance level of 1% (***), 5% (**); Hausman specification test (null hypothesis: difference in coefficients in two models is not systematic): Chi2 (44) = 92.75; p = 0.000.