Table 5.

Results of non-linear unit root tests

KSS model: Δyt= θyt13+Σi=1kδiΔyti+εt
Sollis model: Δyt= θ1yt13+θ2yt14+Σi=1kδiΔyti+εt
CG Model 1: yt = α0 + α1T + α2T2 + α3T3 + εt
CG Model 2: ε^t=θ1ε^t13+θ2ε^t14+Σi=1kδiΔε^ti+εt
Kruse model: yt= θ1yt13+θ2yt12+Σi=1kδiΔyti+εt
CountrieskKSSSollisCGKruse
Bulgaria6−2.2942.7043.5867.047
Croatia6−2.0642.6171.4687.112
CzechR5−2.0852.8073.5296.963
Estonia8−2.6433.6344.5777.184
Hungary8−1.0330.6286.9142.639
Kazakhstan8−0.9370.7647.0841.311
KyrgyzR1−0.6370.3590.4190.717
Latvia7−3.1595.1976.94911.16*
Lithuania6−2.2803.1003.6678.022
Poland5−2.7893.9944.3408.309
Romania3−0.9667.161**8.20313.49**
SlovakR8−3.304*5.4906.74215.56**
Slovenia7−1.9032.0123.2846.578

Notes: For the KSS test, if null hypotheses are θ = 0, there is unit root, while for Sollis, CG and for Kruse tests, if null hypotheses are θ1 = θ2 = 0, there is unit root; Model 2 is estimated, as in the Sollis (2009) test, using residual from Model 1 in the Cuestas and Garratt test; k indicates the optimal number of lags. All unit root tests include intercepts and trends; Table critical values of unit root tests are taken from KSS (2003), Sollis (2009), Cuestas and Garratt (2011) and Kruse (2011). The critical values of the KSS unit root test are −3.93, −3.40, −3.13 and 1%, 5% and 10%, respectively. Table critical values of the Sollis unit root test are 8.95, 6.59, 5.59; table critical values are 22.44, 17.27 and 14.97 for the CG unit root test, and 17.10, 12.82 and 11.10 for the Kruse unit root test for 1%, 5% and 10%, respectively;

**and

*imply rejection of the unit root at the 5% and 10% levels, respectively

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