scholarly journals Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?

1997 ◽  
Vol 112 (1) ◽  
pp. 305-339 ◽  
Author(s):  
S. Borenstein ◽  
A. C. Cameron ◽  
R. Gilbert
2013 ◽  
Vol 22 (4) ◽  
pp. 643-670
Author(s):  
Jeeyoung Bae ◽  
Soohyeon Kim ◽  
Moonjung Kim ◽  
Soomin Oh ◽  
Eunnyeong Heo

Author(s):  
Shri Dewi Applanaidu ◽  
Mukhriz Izraf Azman Aziz

Objective - This study analyzes the dynamic relationship between crude oil price and food security related variables (crude palm oil price, exchange rate, food import, food price index, food production index, income per capita and government development expenditure) in Malaysia using a Vector Auto Regressive (VAR) model. Methodology/Technique - The data covered the period of 1980-2014. Impulse response functions (IRFs) was applied to examine what will be the results of crude oil price changes to the variables in the model. To explore the impact of variation in crude oil prices on the selected food security related variables forecast error variance decomposition (VDC) was employed. Findings - Findings from IRFs suggest there are positive effects of oil price changes on food import and food price index. The VDC analyses suggest that crude oil price changes have relatively largest impact on real crude palm oil price, food import and food price index. This study would suggest to revisiting the formulation of food price policy by including appropriate weight of crude oil price volatility. In terms of crude oil palm price determination, the volatility of crude oil prices should be taken into account. Overdependence on food imports also needs to be reduced. Novelty - As the largest response of crude oil price volatility on related food security variables food vouchers can be implemented. Food vouchers have advantages compared to direct cash transfers since it can be targeted and can be restricted to certain types of products and group of people. Hence, it can act as a better aid compared cash transfers. Type of Paper - Empirical Keywords: Crude oil price, Food security related variables, IRF, VAR, VDC


2019 ◽  
Vol 4 (2) ◽  
pp. 97-104
Author(s):  
Abubakar El-Sidig A.A Mahdi

Objective – The preceding three years (2014, 2015, and 2016) saw a drop in the price of oil which has impacted all parts of Omani macroeconomic life. This study aims to identify the association between oil price changes and aggregate household consumption expenditure in the Sultanate by analyzing the long term relationship between the variables of interest. Methodology/Technique – The (ARDL) Autoregressive Distributed Lag bound test of co-integration is used with 27 annual observations obtained between 1990 and 2016. Findings – The statistical results show that there is a long term, positive relationship between the two variables. Novelty – As Oman is heavily dependent on oil, any fluctuation in the price of oil will undoubtedly cause instability in the economy (macroeconomic variables) demonstrating the presence of a robust correlation between consumption and oil prices. The bound test of the ARDL approach demonstrates this relationship. This study is therefore useful for Muscat officials to identify ways to reduce the dependency on oil. Type of Paper: Empirical Keywords: Total Household Consumption Expenditure; Crude Oil Price; Autoregressive Distributed Lag (ARDL); Omani Economy. Reference to this paper should be made as follows: Abubakar El-Sidig A.A Mahdi. 2019. Impact of Crude Oil Price Changes on Household Consumption Expenditure in Oman (1990-2016), J. Bus. Econ. Review 4 (2): 97 – 104. https://doi.org/10.35609/jber.2019.4.2(4) JEL Classification: D1, D13, D19, E30.


2010 ◽  
Vol 32 (4) ◽  
pp. 926-932 ◽  
Author(s):  
Ming-Hua Liu ◽  
Dimitris Margaritis ◽  
Alireza Tourani-Rad

1970 ◽  
Vol 26 (2) ◽  
pp. 191-210
Author(s):  
Vance Ginn ◽  
Ronald Gilbert

The motivation for this paper began with casual empiricism regarding thebrief distributed lag of retail gasoline prices behind crude oil futures. We developeda model consistent with our hypothesis and tested it with econometrics using statisticaldata that include the sharp decrease in crude oil price futures in late summer2008. We found that our model is a consistent and efficient estimator of the actualgasoline prices over most of our sample period. However, random shocks to gasolineprices, like Hurricane Ike in 2008, cause the model to have problems accuratelypredicting gas prices. We conclude that our estimated model and simulations providereasonable support for our hypothesis that crude oil price futures can predict spotretail unleaded gasoline prices.


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