Table 3: SGMM results (dependent variable: poverty).

Column 1
Lag (2 2) 		Column 2
Lag (2 3)
Poverty(-1) 4.2 227*
(0.004)		 10.0594
(0.654)
Agriculture Value Added -0.479*
(0.000)		 -0.1374**
(0.040)
Population -0.2628*
(0.000)		 0.1993*
(0.001)
Employment -0.2483*
(0.000)		 -0.593*
(0.001)
Health 0.02236***
(0.052)		 -0.3765
(0.064)
Education -0.2422
(0.400)		 -0.3303***
(0.071)
Dependency Ratio 0.1317**
(0.014)		 0.0963*
(0.001)
Constant 30.99315*
(0.000)		 1.630
(0.926)
AR (1)Pr 0.050 1.02
AR (2) 0.096 3.65
Sargan Test 0.10 4.4
Prob> F (0.000) (0.236)
Number of Instruments 8 10
Number of Groups 15 15

Source: Authors’ Computation, 2018 using STATA 12. Note: The values in the parenthesis ‘()’ are the probability values **and *** denotes that the coefficients are significant at 5%, 1%, and respectively.