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Table 2 Estimation results of seemingly unrelated regression model (SUR) and ordinary least square (OLS): physical activity

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

Explanatory variables

Physical activity

 
 

OLS

SUR

% difference in SE (SUR vs. OLS)

 

Coef. (ME) a

SE b

Coef. (ME) a

SE b

 

Age

−0.030(−0.470)***

0.002

−0.030(−1.596)***

0.002

0.57

Sex

     

 Malesc

     

 Females

−0.253(0.776)***

0.046

−0.253(0.759)***

0.046

0.28

Health status

     

 Limiting illnessc

     

 Non-limiting illness

0.532(1.702)***

0.073

0.531(1.744)***

0.073

0.32

 No illness

0.492(1.636)***

0.065

0.491(1.704)***

0.065

0.27

Drinking status

     

 Almost every dayc

     

 Five or six days a week

0.363(1.438)**

0.112

0.363(1.415)**

0.112

0.41

 Three or four days a week

0.106(1.112)

0.090

0.107(1.101)

0.090

0.34

 Once or twice a week

0.076(1.079)

0.077

0.077(1.028)

0.077

0.32

 Once or twice a month

−0.013(0.987)

0.089

−0.012(0.920)

0.088

0.39

 Once every couple of

     

 months

−0.102(0.903)

0.108

−0.101(0.848)

0.108

0.30

 Once or twice a year

−0.233(0.792)

0.109

−0.230(0.763)

0.109

0.39

 Not at all in the last 12 months/non-drinkers

−0.257(0.773)

0.109

−0.253(0.762)

0.108

0.40

Access to vehicle

     

 Noc

     

 Yes

−0.228(0.796)**

0.068

−0.210 (0.865)**

0.067

1.94

 Constant

4.187***

0.127

4.172***

0.125

1.37

 Observations

2268

 

2268

  
  1. aCoefficient (Marginal Effects/Elasticity); bStandard Error; cOmitted category *Exponentiated ME > 1(negative effect), exponentiated ME <1(negative effect); Significance level of 1% (***), 5% (**); Hausman specification test (null hypothesis: difference in coefficients in two models is not systematic): Chi2 (26) = 0.10; p = 1.000.