Table 2.

Results of linearity tests

McLeod and Li Model: yt=β0+Σi=1pδiytp+Σj=1qδjεtq+εt
Keenan Model 1: yt=β0+Σi=1pδiytp+εt
Keenan Model 2: yt2=β0+Σi=2pδiyti+Vt
Tsay Model 1: yt=β0+Σi=1pδiytp+εt
Tsay Model 2: yt= β0+Σi=1pδiytp+Σl=1pθlytl2+Σj=2pϑjyt1ytj+Σj=3pjyt2ytj++Σj=ppφjytp1ytp+Vt
Harvey and Leybourne Model: yt= β0+β1yt1+β2yt12+β3yt13+β4Δyt1+β5(Δyt1)2+β6(Δyt1)3+εt
Harvey et al. Model I(0): yt= β0+β1yt1+β2yt22+β3yt33+Σi=1kδiΔyti+εt
Harvey et al. Model I(1): yt=λ1Δyt1+λ2(Δyt1)2+λ3(Δyt1)3+Σi=1kδiΔyti+εt
TestsMcLeod and LikKeenanTsayHarvey and LeybourneHarvey et al.
Bulgaria(0.00)***30.4670.7139.879.75**9.685.41*
Croatia(0.00)***62.4092.018***15.98***15.7915.6813.44***
CzechR(0.00)***40.0261.676*1.321.281.250.26
Estonia(0.00)***108.537***1.619**7.487.427.383.30
Hungary(0.00)***30.0360.5322.332.302.280.73
Kazakhstan(0.00)***31.4787.186***49.52***49.0048.7158.96***
KyrgyzR(0.00)***10.4020.13210.4310.25**10.150.58
Latvia(0.00)***99.594***0.8747.357.297.253.74
Lithuania(0.00)***75.275**1.686**7.727.647.593.90
Poland(0.00)***20.0030.9673.443.313.233.29
Romania(0.00)***20.0471.9295.715.485.354.80*
SlovakR(0.00)***20.1454.712***5.365.135.002.92
Slovenia(0.00)***71.7451.1072.402.372.350.43

Notes: McLeod and Li (1983) test statistics are obtained using the squares of residuals obtained from the ARMA model in the Ljung and Box (1978) statistic; in the Tsay (1986) test, residuals obtained from Models 1 and 2 equations are regressed and F test statistics are obtained from this equation; in the Keenan (1985) test, residuals obtained from Models 1 and 2 equations are regressed and F test statistics are obtained from two equations; χ42 Table critical values of and the χ22 table critical values of Harvey et al. (2008) test are 9.21, 5.99, 4.60, respectively;

***,

** and

*simply rejection of the linearity at the 1%, 5% and 10% levels, respectively; values in parentheses indicate prob. values

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