Table 5 Short-run Asymmetric ARDL estimation.

From: Do agricultural commodity prices asymmetrically affect the performance of value-added agriculture? Evidence from Pakistan using a NARDL model

Regressor

 

Coefficient(s)

S.E

t-ratio

p-value

C

 

16.874

1.650

10.229

0.000

AVA(−1)

 

0.168

0.095

1.781

0.098

PI+

 

0.168

0.074

2.274

0.041

PI-

 

0.507

0.055

9.263

0.000

CD

 

0.379

0.050

7.627

0.000

LF

 

1.291

0.493

−2.617

0.021

∆AVA(−2)

 

−0.637

0.108

−5.887

0.000

∆PI+

 

0.574

0.074

7.752

0.000

∆PI+(−1)

 

−0.689

0.095

−7.226

0.000

∆PI+(−2)

 

0.917

0.095

9.644

0.000

∆PI+(−3)

 

−0.190

0.081

−2.357

0.035

∆PI-

 

−0.539

0.064

−8.473

0.000

∆PI (−1)

 

0.268

0.053

5.033

0.000

∆CD

 

−0.227

0.043

−5.278

0.000

∆CD(−1)

 

0.038

0.045

0.841

0.416

∆CD (−2)

 

−0.155

0.027

−5.819

0.000

∆LF

 

−2.554

0.517

−4.936

0.000

∆LF (−1)

 

3.884

0.464

8.376

0.000

∆LF (−2)

 

1.683

0.469

3.586

0.003

Adj.R2

0.999

    

D-W

1.957

    

F-statistic

569.30 [0.000]

    

X1 SC

0.195 [0.826]

    

X1 Norm

0.317 [0.854]

    

X1 Het

1.920 [0.109]

    
  1. Superscript with + and − signs denote the series’ positive and negative variations. Similarly, X1SC, X1Norm, X1Het, and D-W represent serial correlation (Breusch-Godfrey), error normality (Jarque-Bera), heteroscedasticity (Breusch-Pagan-Godfrey), and Durbin–Watson test statistic correspondingly.
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