Modelling U.S. gasoline demand: A structural time series analysis with asymmetric price responses

Dilaver, Zafer; Hunt, Lester C.

doi:10.1016/j.enpol.2021.112386

Cited by 4 publications

(1 citation statement)

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“…Modelling studies have been used to understand the consumer preferences for alternative fuel vehicles [ 16 ]. The structural time series model has been employed for data over the period 1949–2019 allowing for both asymmetric price responses and an underlying energy demand trend for gasoline [ 17 ]. The effects of vehicle safety design on road traffic deaths, injuries, and the public health burden have been analysed by a modelling study by Bhalla and Gleason [ 18 ], applied to the Latin American region.…”

Section: Literature Reviewmentioning

confidence: 99%

Us vehicles sales. Evidence of persistence after COVID-19

Lopez

Gil-Alana

2023

PLoS ONE

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In this paper, the sales of vehicles in the US are examined to understand if the shock caused by the current COVID-19 pandemic has had permanent or transitory effects on its subsequent evolution. Using monthly data from January 1976 until April 2021 and fractional integration methods, our results indicate that the series reverts and the shocks tend to disappear in the long run, even when they appear to be long lived. The results also indicate that the COVID-19 pandemic has not increased the degree of persistence of the series but, unexpectedly, has slightly reduced its dependence. Thus, shocks are transitory, long lived but, as time goes by, the recovery seems to be faster, which is possibly a sign of the strength of the industry.

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Section: Literature Reviewmentioning

confidence: 99%