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Table 5 Non-linear ARDL estimation results

From: Nexus between financial innovation and economic growth in South Asia: evidence from ARDL and nonlinear ARDL approaches

 

Country

Bangladesh

India

Pakistan

Sri Lanka

coefficients

t-stat

coefficients

t-stat

coefficients

t-stat

coefficients

t-stat

Panel – A: Long-run Estimation

 C

−3.16a

−1.41

−26.65

−2.39

18.52a

1.33

−3.79a

−2.73

 Y(−1)

−0.72a

−0.18

−2.29

−2.52

−0.76a

− 3.58

− 1.38a

−4.37

 FI_P(− 1)

2.56b

2.60

5.38b

−2.27

4.92a

1.58

0.92a

1.76

 FI_N(−1)

−4.07b

−3.51

−7.11a

− 1.96

−6.73a

− 1.61

−0.18a

−1.41

 DCP(−1)

−8.09a

−5.74

16.73

2.16

−7.98a

−2.57

1.43

0.97

 GCF(−1)

−4.52b

−5.42

−0.81

− 0.56

−0.83

−2.52

− 1.93

− 2.68

 TO(− 1)

7.86a

5.17

−7.35

−1.37

1.74a

0.35

7.27

2.90

Panel – B: Short-run Estimation

 ∆Y(−1)

−0.53a

−1.78

1.95a

3.39

  

0.78b

3.03

 ∆Y(−2)

−0.35

− 1.63

1.55b

3.58

−0.65

−2.68

1.20b

3.94

 ∆Y(−3)

− 0.55b

−3.15

−0.22b

− 0.04

−0.61a

− 1.78

  

 ∆Y(−4)

−0.48a

4.16

−0.14b

− 0.39

− 0.77b

−2.63

−0.51b

−2.42

 ∆FI_P(−1)

0.14a

3.84

.03a

1.93

0.78a

 

−2.10a

−4.29

 ∆FI_P(−2)

0.39a

1.88

0.58a

1.19

0.9b

1.60

−1.77b

−3.97

 ∆FI_P(− 3)

0.01a

0.87

1.74b

1.02

0.07b

0.91

−0.49b

−1.67

 ∆FI_P(−4)

0.71a

2.24

1.54b

2.44

0.04a

2.19

−3.42a

−2.33

 ∆FI_N(−1)

0.07a

1.54

−0.87b

−1.89

− 0.58a

− 0.82

1.41b

1.21

 ∆FI_N(−2)

−0.96a

−2.73

− 0.65b

− 2.13

− 1.78a

− 1.52

5.76b

2.98

 ∆FI_N(−3)

− 1.04b

− 2.72

− 0.67b

− 0.94

− 0.33a

− 0.92

1.14b

1.08

 ∆FI_N(−4)

0.96a

3.32

− 1.12a

− 1.42

− 2.93a

−2.06

− 14.88

−1.54

 ∆DCP(−1)

6.66b

3.42

  

17.21*

2.81

−5.43b

−3.57

 ∆DCP(−2)

2.97b

1.98

−13.87b

−2.22

  

−5.29b

−3.86

 ∆DCP(−3)

    

12.70a

2.59

−1.67b

− 1.37

 ∆DCP(−4)

−6.29b

−4.15

− 1.21b

−2.48

17.21*

2.81

−3.97b

−2.53

 ∆GCF(−1)

3.41b

5.34

    

1.35b

2.62

 ∆GCF(−2)

1.46b

3.35

  

0.40b

1.36

0.22b

0.68

 ∆GCF(−3)

1.04b

4.38

0.16b

1.11

0.81a

2.18

0.33a

1.29

 ∆GCF(−4)

 

0.57b

1.95

0.25

1.03

−1.45a

−0.17

 ∆TO(−1)

−4.12b

−4.57

− 4.48

− 1.13

8.96b

2.28

  

 ∆TO(−2)

−2.61

−2.96

17.21

1.72

11.74b

3.72

  

 ∆TO(−3)

−3.11b

−3.89

3.70

0.77

2.95b

0.93

  

 ∆TO(−4)

−3.46b

−4.45

10.99

2.12

14.03b

3.57

  

Panel – C: Symmetric Estimation

Fpss

19.43

 

15.79

 

13.72

 

9.15

 

\( {L}_{EX}^{+} \)

3.47a

 

2.43a

 

6.47a

 

0.67a

 

\( {L}_{EX}^{-} \)

−5.65a

 

−3.10a

 

10.50a

 

−0.13b

 

WLR

4.78(0.002)

 

1.33(0.003)

 

2.70(0.009)

 

1.17(0.001)

 

WSR

12.17(0.004)

 

6.29(0.007)

 

6.18(0.004)

 

5.55(0.008)

 

Panel – D: Residual Diagnostic and Model Stability Test

 R2

0.86

 

0.79

 

0.89

 

0.83

 

 δ

0.27

 

0.32

 

0.21

 

0.44

 

\( {\mathrm{F}}_{\mathrm{statistics}}^2 \)

10.42a

 

5.28a

 

3.07a

 

3.73b

 

\( {\mathrm{x}}_{\mathrm{Autocorrelation}}^2 \)

2.20(0.18)

 

5.84(0.24)

 

4.84(0.45)

 

6.75(0.59)

 

\( {\mathrm{x}}_{\mathrm{Heteroskedasticity}}^2 \)

1.96(0.26)

 

1.40(0.49)

 

1.19(0.18)

 

1.49(0.18)

 

\( {\mathrm{x}}_{\mathrm{Normality}}^2 \)

1.61(0.41)

 

1.51(0.77)

 

1.14(0.56)

 

1.64(0.43)

 

\( {\mathrm{x}}_{\mathrm{RESET}}^2 \)

1.19(0.34)

 

0.97(0.23)

 

6.29(0.18)

 

3.29(0.18)

 
  1. Note 1. The superscript “+” and “-” indicate positive and negative changes, respectively
  2. Note 2. Fpss for F-statistics from Wald test for long-run cointegration
  3. Note 3. \( {L}_{FI}^{+} \) and \( {L}_{FI}^{-} \) for long-run coefficients for financial innovation positive and negative changes
  4. Note 4. WLR refers to the Wald test of long-run symmetry\
  5. Note 5. WSR refers to the Wald test of the additive short-run symmetry condition
  6. Note 6. a and b denote significance at the 1 and 5%, levels, respectively