Table IV.

ARDL cointegration test-statistics and exhibit of the unrestricted error correction model

RegionModelXSC2(1)XSC2(3)F-statStatus at 5(%) level
(a) Statistics for ARDL bounds cointegration test performed separately for each region
GRARDL(2,2,1,1)1.03 (0.31)1.05 (0.79)4.92**Cointegration
FRARDL(3,3,1,1)2.48 (0.12)5.93 (0.12)4.57**Cointegration
DRARDL(7,6,1,1)0.58 (0.45)1.54 (0.67)2.47No cointegration
OVARDL(2,2,1,1)0.84 (0.36)5.30 (0.15)4.95**Cointegration
FLARDL(9,9,1,1)1.16 (0.28)1.68 (0.64)1.94No cointegration
GEARDL(3,3,1,1)2.63 (0.11)3.92 (0.27)3.16No cointegration
UTARDL(1,1,1,1)2.40 (0.12)3.97 (0.26)3.84*Inconclusive
ZHARDL(2,1,1,1)0.05 (0.83)0.40 (0.94)6.71***Cointegration
ZLARDL(10,9,1,1)2.54 (0.11)3.19 (0.36)2.12No cointegration
NBARDL(4,4,1,1)0.54 (0.46)2.78 (0.43)1.23No cointegration
LIARDL(2,2,1,1)0.36 (0.55)3.49 (0.32)4.04**Cointegration
Bound critical values
1%5%10%
I(0)I(1)I(0)I(1)I(0)I(1)
4.295.613.234.352.723.77
Independent variableEstimateStd. Errort-valueP-value
(b) Unrestricted error correction model estimate for GR (yti, i = ZH)
Const.0.6380.660.970.34
Δyt1i−0.2050.10−2.040.04**
Δyt2i−0.4440.10−4.490.00***
Δxt−1−0.1780.07−2.470.02**
Δgdpt−12.2500.474.770.00***
Δrt−10.0070.001.400.17
yt1i−0.1560.05−3.350.00***
xt-10.1350.034.100.00***
gdpt−1−0.0310.07−0.430.66
rt−10.0050.001.690.10*

Notes:

In (a), the UEC model is estimated with a constant for all regions. The lag order is selected with AIC and further adjustment when necessarily to correct for serial correlation and dynamic stability of autoregressive structure of the UEC model. χ2SC(m) is the m-order LM residual serial correlation test of the estimated ARDL model. The critical values are taken from Table CI(iii) and and CII(iii) of Pesaran et al. (2001), with k = 3; For the regression estimates in (b), the residual standard error = 0.02, multiple R-squared = 0.46 and the adjusted R-squared = 0.39. Statistical significance is denoted by;

∗, ∗∗ and ∗∗∗ at the 10, 5 and 1% levels, respectively

or Create an Account

Close Modal
Close Modal