Table 3

GMM poverty estimate results during political stability

Variable(1)(2)(3)(4)(5)(6)
Pov -10.934 (0.012)***0.925 (0.014)***0.934 (0.013)*** 0.932 (0.014)***0.932 (0.014)***
PS −1.150 (0.046)***−1.550 (0.046)***−1.120 (0.806)−1.140 (0.060)***−1.483 (0.030)***
PS2  1.005 (0.189)*   
PG   0.059 (0.021)***0.086 (0.011)***0.083 (0.007)***
IR   0.108 (0.025)**0.061 (0.012)**0.251 (0.061)***
GDP (log)   −0.081 (0.026)***−0.078 (0.024)***−0.0820 (0.025)***
TO    −0.026 (0.003)***−0.045 (0.003)***
EDU    −0.381 (0.012)***−0.380 (0.012)***
ATD     −0.591 (0.117)***
AAT     −1.228 (0.025)***
Observations211211211211210210
No. of Countries131313131313
Wald-test1452.01 (0.000)1524.19 (0.000)1526.11 (0.000)1450.05 (0.000)1489.15 (0.000)1420.35 (0.000)
Hansen test (p-value)0.2810.2770.2800.2900.3110.301
AR test AR(1) (p-value)(0.012)(0.012)(0.011)(0.011)(0.075)(0.04)
AR test AR(2) (p-value)(0.291)(0.302)(0.302)(0.294)(0.431)(0.549)

Note(s): 1. The results of GMM estimations of how political stability and growth affect poverty is shown in the table. The time frame spans from 1996 to 2022; 2. Standard errors are in brackets; 3. Significance is indicated at the 1, 5, and 10% levels, respectively, by ***, **, and *; 4. The Hansen test is used to check whether estimations of the GMM dynamic model over-identify constraints. The Arellano-A bond test is used in the AB test AR (1) and AR (2), where the average auto-covariance in residuals of rank 1 and order 2, respectively, is 0 (H0: no autocorrelation); p-values are indicated in brackets

Source(s): Calculated by the author

or Create an Account

Close subscription notice
Close access options