Skip to main content

Table 4 Panel ARDL regression result

From: ICT diffusion and the finance–growth nexus: a panel analysis on ECOWAS countries

Variables

PMG

MG

DFE

 Long-run estimate

   

 BMS

− 0.192***

− 2.472

0.0759

(0.0541)

(1.566)

(0.0742)

 ICTI

− 1.489***

23.30

− 0.359

(0.568)

(31.98)

(1.003)

 BMS × ICTI

0.0992***

− 0.706

0.00850

(0.0240)

(1.188)

(0.0263)

 TOP

0.0381

0.352

0.0261

(0.0239)

(0.376)

(0.0192)

Short-run estimate

   

 ECT

− 0.679***

− 0.613*

− 0.863***

(0.143)

(0.360)

(0.0891)

 BMS

− 0.533

− 0.633

− 0.275***

(0.366)

(0.889)

(0.105)

 ICTI

116,291

290,125

1.974

(116,282)

(290,100)

(1.932)

 BMS × ICTI

− 0.267

− 0.962

− 0.0335

(0.238)

(0.940)

(0.0532)

 TOP

0.0671

0.272

0.0233

(0.0712)

(0.200)

(0.0237)

 Intercept

75,539

188,448

0.478

(75,533)

(188,441)

(2.334)

No. of observations

156

156

156

No. of countries

13

13

13

Hausman test

MG versus PMG

 

MG versus DFE

Chi2 (4)

0.14

 

0.19

Prob

0.9977

 

0.9958

  1. Gr, FIN, ICT and TOP represent growth of gross domestic product, financial development measured by broad money supply as a ratio of GDP, information and communication technology index and degree of openness
  2. ***, **, *Statistical significance at 1%, 5% and 10%, respectively; values in () are standard errors. Hausman test indicates that PMG is consistent and efficient estimation than MG and DFE estimation