Table 2

Panel regression estimates for all functions of social benefits expenditures as an independent variable

Model 1Model 2Model 3Model 4
Dependent variablelnFIEBinTElnFIEBinFElnFIECinTEllFIECinFE
constant−1.586 (1.328)0.490 (1.138)−3.404* (1.557)−1.656 (1.304)
Independent variable
lnSPB1.549*** (0.271)1.173*** (0.232)2.211*** (0.347)1.616*** (0.291)
Control variables
lnGini1.094** (0.359)0.683* (0.307)1.380** (0.440)1.079** (0.369)
lnGE−1.430*** (0.295)−1.006*** (0.251)−1.827*** (0.347)−1.231*** (0.290)
lnFU−0.179*** (0.052)−0.167*** (0.044)−0.208*** (0.061)−0.194*** (0.051)
Fit statistics of models
Breusch-Pagan testχ2 (1) = 1220.28 p = 0χ2 (1) = 1230.38 p = 0χ2 (1) = 1316.88 p = 0χ2 (1) = 1332.61 p = 0
Hausman testχ2 (4) = 1.365 p = 0.850χ2 (4) = 2.182 p = 0.702χ2 (4) = 12.973 p = 0.011χ2 (4) = 13.406 p = 0.009
EffectsrandomrandomFixedfixed
No. of countries24242121
No. of observations362362294294
F  F(4, 269) = 12.974 p = 0.000F(4, 269) = 11.008 p = 0.000
χ2χ2(4) = 41.459 p = 0.000χ2(4) = 34.465 p = 0.000  
LSDV R2  0.9040.930
Within R2  0.1620.141
“Between” variance0.7380.762  
“Within” variance0.0690.050  

Note(s): Standard errors in parentheses, ***p < 0.001; **p < 0.01; *p < 0.05

Source(s): Authors’ own work

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