Table 4

Panel regression estimates for expenditures on the disability function as an independent variable

Model 9Model 10Model 11Model 12
Dependent variablelnFIEBinTElnFIEBinFElnFIECinTEllFIECinFE
constant−0.911 (1.343)0.893 (1.127)−2.855 (1.639)−1.292 (1.372)
Independent variable
lnD−0.487*** (0.114)−0.496*** (0.096)0.096 (0.158)0.018 (0.135)
Control variables
lnGini0.442 (0.359)0.150 (0.301)1.260** (0.451)0.974* (0.379)
lnGE0.233 (0.188)0.323* (0.157)−0.087 (0.223)0.068 (0.185)
lnFU−0.050 (0.054)−0.050 (0.045)−0.171** (0.065)−0.165** (0.054)
Fit statistics of models
Breusch-Pagan testχ2 (1) = 1252.08 p = 0χ2 (1) = 1348.73 p = 0χ2 (1) = 1243.17 p = 0χ2 (1) = 1290.18 p = 0
Hausman testχ2 (4) = 4.103 p = 0.392χ2 (4) = 2.997 p = 0.558χ2 (4) = 7.536 p = 0.110χ2 (4) = 8.817 p = 0.066
Effectsrandomrandomrandomrandom
No. of countries24242121
No. of observation362362294294
χ2χ2(4) = 26.624 p = 0.000χ2(4) = 35.688 p = 0.000χ2(4) = 12.592 p = 0.013χ2(4) = 13.321 p = 0.010
“Between” variance0.8160.8640.4870.494
“Within” variance0.0710.0490.0800.055

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

Source(s): Authors’ own work

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