Table 3.

Unit root tests

VariablesTestLevelsFirst differenceLevelFirst difference
INFADF−4.580*−5.586*
 PP−4.515*−5.017*
 KPSS0.389 (5)0.087 (5%)
CMRADF−3.381**−3.577**
 PP−3.280**−3.502***
 KPSS0.267 (5)0.161 (1)
GDPFCADF−5.956*−8.164*
 PP−6.096*−8.209*
 KPSS0.604 (1)0.064 (5)
GFDADF−2.565−6.718*−2.465−6.895*
 PP−2.435−7.709*−2.428−7.907*
 KPSS0.804**0.215 (5)0.173**0.071 (5)
GFDDADF−1.874−7.455*−2.152−7.554*
 PP−1.829−7.536*−2.021−7.677*
 KPSS0.934*0.229 (5)0.167**0.058 (5)
TOADF−1.046−5.443*−1.479−5.414*
 PP−1.123−5.484*−1.924−5.459*
 KPSS0.785*0.104 (5)0.178**0.105 (5)
OPIADF−6.344*−6.452*
 PP−6.327*−6.450*
 KPSS0.153 (5)0.085 (5)

Notes:

*; ** and *** denotes the rejection of null hypothesis against an alternative at 1%, 5% and 10% level of significance. C and C + T refer to two alternative specifications denoting constant only and constant and a linear trend, respectively. ADF is Augmented Dickey–Fuller test (Dickey and Fuller, 1979), PP represents the Philips–Perron test (Philips and Perron, 1988) and KPSS denotes the Kwiatkowski et al. (1992) stationarity test. Schwarz information criteria is applied to choose the appropriate lag length for ADF test and Newey – West automatic selection procedure is used to choose the bandwidths for PP and KPSS tests

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