2021
DOI: 10.1016/j.energy.2021.121025
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Analysis of the factors affecting electricity consumption in DR Congo using fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS) and canonical cointegrating regression (CCR) estimation approach

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Cited by 59 publications
(12 citation statements)
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“…Merlin & Chen, 2021). On the other hand, the DOLS approach uses parametric techniques to remove issues caused by the explanatory variables' leads and lags (Addis & Cheng, 2023;Merlin & Chen, 2021). Additionally, the DOLS technique also imposes additional requirements that all variables be integrated in the same order and yields accurate estimates.…”
Section: Panel Cointegration Testsmentioning
confidence: 99%
“…Merlin & Chen, 2021). On the other hand, the DOLS approach uses parametric techniques to remove issues caused by the explanatory variables' leads and lags (Addis & Cheng, 2023;Merlin & Chen, 2021). Additionally, the DOLS technique also imposes additional requirements that all variables be integrated in the same order and yields accurate estimates.…”
Section: Panel Cointegration Testsmentioning
confidence: 99%
“…The same is shown in Table 8. FMOLS is chosen as a test as it is asymptotically unbiased and provides robust results along with reliable estimates (Bashier and Siam, 2014;Peng and Wu, 2020;Merlin and Chen, 2021).…”
Section: Diagnostic and Robustness Testsmentioning
confidence: 99%
“…In Eq. 11, Z t (x ′ t , D ′ t )′, Ω and Λ are long run covariance estimator terms, ŵ12 is a degree of freedom correction term, and μt is the residual term (Merlin & Chen, 2021).…”
Section: Fully Modified Ordinary Least Square (Fmols)mentioning
confidence: 99%