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Table 3 Dynamic System GMM Regression Model (Post-Global Financial Crisis)

From: Impact of macro-fiscal determinants on health financing: empirical evidence from low-and middle-income countries

VARIABLES

(1)

(2)

(3)

(4)

(5)

(6)

ln PHEit-1

0.621***

0.575***

0.568***

0.553***

0.610***

0.610***

(0.007)

(0.011)

(0.006)

(0.016)

(0.015)

(0.013)

ln TRit

−0.035

   

0.016

 

(0.025)

   

(0.012)

 

ln DTit

 

0.020***

   

0.004

 

(0.007)

   

(0.009)

ln ITit

 

− 0.024*

   

−0.069***

 

(0.013)

   

(0.007)

FBit

  

−0.011***

 

−0.011***

− 0.011***

  

(0.0001)

 

(0.0001)

(0.0002)

ln DEBTit

   

−0.008**

−0.015***

− 0.010***

   

(0.003)

(0.001)

(0.002)

ln PCGDPit

−0.013***

− 0.016***

0.010***

−0.009***

0.005

−0.009

(0.0007)

(0.002)

(0.003)

(0.002)

(0.006)

(0.008)

ln AGINGit

0.065

0.267***

0.091***

0.248***

0.012

0.214***

(0.063)

(0.032)

(0.033)

(0.048)

(0.026)

(0.038)

ln IMRit

−0.150***

−0.027**

−0.011

−0.010

− 0.111***

−0.044*

(0.013)

(0.011)

(0.014)

(0.022)

(0.011)

(0.024)

Constant

0.973***

0.249***

0.229**

0.178

0.641***

0.476***

(0.140)

(0.067)

(0.101)

(0.156)

(0.100)

(0.167)

AB test AR(2) (p -level)

0.103

0.086

0.086

0.086

0.104

0.089

Sargan test (p -level)

1.000

1.000

1.000

1.000

1.000

1.000

Observations

303

303

303

303

303

303

No. of Country

77

77

77

77

77

77

  1. Note: Post-Global Financial Crisis includes the sample of countries of period 2009–2013. Standard errors in parentheses; ***, **, * denotes the level of significance at 1, 5, and 10% respectively; ln = natural logarithm
  2. Source: Author’s estimation