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Table 4 Testing for long run cointegration: F statistic and t statistic (Dependent variable: GDP)

From: Growth, bank credit, and inflation in Mexico: evidence from an ARDL-bounds testing approach

Lag

Model A

Model B

(GOV, INV, XP, INF, PC, INF × PC, LIB)

(GOV, INV, XP, INF, FD, INF × FD, LIB)

P = 1

P = 2

P = 1

P = 2

F statistic

24.912*

2.888

34.294*

2.9833

t statistic

−5.108*

−2.576

−9.423*

−2.660

Lag length selection criteria

 AIC

−5.442

−5.826

−5.013

−5.472

 SBC

−4.724

−5.066

−5.472

−5.504

Lag

Model C

Model D

(GOV, INV, XP, INF, BA, INF × BA, LIB)

(GOV, INV, XP, INF, LL, INF × LL, LIB)

P = 1

P = 2

P = 1

P = 2

F statistic

25.147*

2.925

24.2905*

2.379

t statistic

−8.304*

−2.900

−6.690*

−0.644

Lag length selection criteria

 AIC

−5.523

−4.954

−5.323

−5.446

 SBC

−4.805

−5.440

−4.606

−4.686

  1. Critical value bounds of the F statistic with k = 7 with constant (k = 8 is not available): (3.644, 5.464), (2.676, 4.130), and (2.260, 3.534) at the 1, 5, and 10 % level of significance, respectively
  2. Critical value bounds of the t statistic with k = 7 with constant: (−2.58, −5.07), (−1.95, −4.43), and (−1.62, −4.09), respectively
  3. *, **, and *** statistically significant at 1, 5, and 10 %, respectively
  4. P is the lag length