Skip to main content

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.