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Table 2 Results of the stationarity tests

From: Balancing short-term costs and long-term benefits: an analysis of the impact of hydroelectric power generation on electricity prices volatility in Cameroon

Variables

ADF

PP

KPSS

No trend

With trend

No trend

With trend

No trend

With trend

ln_HYDRO

−0.251 (0.9321)

−3.221 (0.0802)

−0.308 (0.9244)

−3.681** (0.0237)

1.01*

0.151**

D.ln_HYDRO

−5.671* (0.0000)

−5.363* (0.0000)

−5.804* (0.0000)

–

–

–

ln_DE

−1.306 (0.6262)

−1.248 (0.9002)

−0.883 (0.8317)

−1.937 (0.6354)

0.878*

0.165**

D.ln_DE

−3.181** (0.0211)

−3.876 ** (0.0429)

−5.583* (0.0000)

−5.824* (0.0000)

–

–

Ln_GDP

−2.410 (0.1390)

−2.017 (0.5920)

−2.968 (0.0580)

−2.907 (0.1599)

0.401**

0.127

D.ln_GDP

−4.265* (0.0005)

−3.834** (0.0149)

−5.785* (0.0000)

−5.724* (0.0000)

–

0.211**

ln_REER

−1.963 (0.3028)

−3.157 (0.0933)

−2.426 (0.1346)

−3.217 (0.0811)

0.5**

0.256*

D.ln_REER

−3.187** (−3.400)

−3.314** (0.0341)

−4.488* (0.0002)

−4.539* (0.0013)

–

–

ln_EPv

−1.857 (0.3523)

−1.692 (0.7542)

−1.923 (0.3215)

−1.756 (0.7258)

0.210

0.308*

D.ln_EPv

−3.981* (0.0015)

−3.960** (0.0100)

−3.985* (0.0015)

−3.961** (0.0100)

0.474**

–

  1. Source: Authors
  2. ADF augmented Dickey–Fuller test, PP Phillips–Perron, KPSS Kwiatkowski–Phillips–Schmidt–Shin test for stationarity
  3. * and ** refer to the 1% and 5% significance level, respectively