2021
DOI: 10.3390/pr10010065
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Bubble Identification in the Emerging Economy Fuel Price Series: Evidence from Generalized Sup Augmented Dickey–Fuller Test

Abstract: In the recent past, the world in general and Pakistan in particular faced a drastic fuel price change, affecting the economic productivity of the country. This has drawn the attention of empirical researchers to analyze the abrupt change in fuel prices. This study takes a lead and investigates for the first time, in the literature related to Pakistan, the presence of multiple fuel price bubbles, with the purpose of knowing if the price driver is due to demand or it is exuberant consumer behavior that prevails … Show more

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Cited by 6 publications
(3 citation statements)
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References 42 publications
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“…The Augmented Dickey-Fuller (ADF) [34], [35] and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) [36], [37] tests were carried out. The ADF test was conducted to find out the unit root of the data, while the KPSS test was to find out the stationarity of the data.…”
Section: ) Data Transformationmentioning
confidence: 99%
“…The Augmented Dickey-Fuller (ADF) [34], [35] and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) [36], [37] tests were carried out. The ADF test was conducted to find out the unit root of the data, while the KPSS test was to find out the stationarity of the data.…”
Section: ) Data Transformationmentioning
confidence: 99%
“…Finally, Ahmed et al [11] analyzed the unexpected fuel price changes for the first time in Pakistan. The study aims to understand whether the fuel price driver is demand driven or whether it is exuberant consumer behavior that prevails and contributes to a sudden spike in the fuel price series.…”
Section: Economic Aspectmentioning
confidence: 99%
“…Based on the Augmented Dickey-Fuller test results at the level and 1 st difference level, it is known that not all variables are stationary. It is necessary to carry out the Augmented Dickey-Fuller test at the 2 nd difference level (Ahmed et al, 2021). From the result of data processing, the result of the unit root test at the 2 nd difference level is obtained, as shown in Table 1 below: Based on Table 1, it can be seen that the Prob ADF value for the variables of fertility, women's education, income, and mortality is less than 0.05.…”
Section: A Stationarity Testmentioning
confidence: 99%