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. 2015 Oct 31;15:1098. doi: 10.1186/s12889-015-2423-9

Table 2.

Unadjusted regression model of logged household expenditures for food, education and healthcare

Food Education Healthcare
Variables Random-slope Random-intercept Fixed-effects Random-slope Random-intercept Fixed-effects Random-slope Random-intercept Fixed-effects
(1) (2) (3) (4) (5) (6) (7) (8) (9)
Current tobacco use (ref. No use)
Daily −0.064** −0.051** −0.052** −0.208** −0.183** −0.184** −0.137** −0.121** −0.122**
Occasional −0.083** −0.050** −0.050** −0.138** −0.065** −0.066** −0.093* −0.043 −0.043
Constant 4.666** 4.657** 4.656** 1.517** 1.498** 1.547** 1.584** 1.574** 1.455**
SD (Daily) .081 (.015)a .137 (.027)a .148 (.028)a
SD (Occasional) .103 (.029)a .120 (.035)a .143 (.044)a
SD (Constant) .517 (.058)a .520 (.059)a .699 (.079)a .691 (.078)a .662 (.075)a .652 (.074)a
Hausman testb [χ c(2) = 4.05 (p = 0.132)] [χ c(2) = 7.59 (p = 0.023)] [χ c(2) = 5.82 (p = 0.055)]
Likelihood ratio testc [χ c(2) = 59.86 (p < 0.001)] [χ c(2) = 43.86 (p < 0.001)] [χ c(2) = 47.16 (p < 0.001)]
Observations (countries) 53,185 (40) 50,732 (40) 50,602 (40)

Notes: **p < 0.01, *p < 0.05; SD, standard deviation of estimated coefficient; astandard error in parentheses; bRejecting the null hypothesis would favor fixed-effects to random-intercept; cRejecting the null hypothesis would favor random-slope over random-intercept