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. 2019 Aug 9;4:21. doi: 10.1186/s41256-019-0112-4

Table 2.

Dynamic System GMM Regression Model (Pre-Global Financial Crisis)

VARIABLES (1) (2) (3) (4) (5) (6)
ln PHEit-1 0.620*** 0.647*** 0.623*** 0.603*** 0.635*** 0.624***
(0.010) (0.010) (0.004) (0.011) (0.011) (0.014)
ln TRit 0.106*** 0.084***
(0.013) (0.015)
ln DTit 0.011*** 0.027***
(0.002) (0.007)
ln ITit −0.053*** −0.041***
(0.004) (0.008)
FBit −0.001*** − 0.001*** − 0.002***
(4.83e-05) (6.32e-05) (0.0002)
ln DEBTit 0.022*** 0.017*** 0.016***
(0.002) (0.001) (0.001)
ln PCGDPit 0.009*** 0.018*** 0.032*** 0.026*** 0.010*** 0.006*
(0.0006) (0.001) (0.001) (0.002) (0.003) (0.003)
ln AGINGit 0.037*** 0.020 0.041** 0.043*** 0.049*** 0.024
(0.006) (0.014) (0.017) (0.005) (0.011) (0.020)
ln IMRit −0.038*** −0.042*** −0.001 −0.013* −0.034*** −0.073***
(0.009) (0.011) (0.008) (0.007) (0.011) (0.012)
Constant 0.080 0.459*** 0.063 0.137*** 0.063 0.552***
(0.055) (0.062) (0.066) (0.033) (0.055) (0.071)
AB test AR(2) (p -level) 0.749 0.840 0.661 0.808 0.664 0.662
Sargan test (p -level) 1.000 1.000 1.000 1.000 1.000 1.000
Observations 491 491 491 491 491 491
Number of id 76 76 76 76 76 76

Note: Pre-Global Financial Crisis includes the sample of countries of the period of 2000–2008. Standard errors in parentheses; ***, **, * denotes the level of significance at 1, 5, and 10% respectively; ln = natural logarithm

Source: Author’s estimation