An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach

Citations

WEB OF SCIENCE

80
Citations

SCOPUS

84

초록

In this paper the U.S. gasoline demand from 1976 to 2008 is estimated using a time-varying cointegrating regression. We find that price elasticity increased rapidly during the late 1970s and then decreased until 1987. After a relatively small-scaled increase-decrease cycle from 1987 to 2000, the price elasticity rose again after 2000. The time-varying change of the elasticities may be explained by the proportion of gasoline consumption to income and fluctuation of the degree of necessity. The result of the error correction model shows that a deviation from a long-run equilibrium is corrected quickly, and the welfare analysis illustrates there may be a gain by shifting the tax scheme from income tax to gasoline tax. © 2009 Elsevier B.V. All rights reserved.

키워드

Canonical cointegration regressionCointegrationDeadweight lossError-correction modelGasoline demandTime-varying coefficientCointegrationError correction modelsGasoline demandGasoline taxIncome taxPrice elasticityTime varyingTime-varying changesTime-varying coefficientWelfare analysisElasticityGasolineRegression analysisTaxationTime varying systemsError correctioncointegration analysiscommodity pricedemand analysisdemand elasticityerror correctionfuel consumptionnumerical modelpetroleumprice dynamicsregression analysistax systemUnited States
제목
An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach
저자
Park, Sung-yongZhao, Guochang
DOI
10.1016/j.eneco.2009.10.002
발행일
2010-01
유형
Article
저널명
Energy Economics
32
1
페이지
110 ~ 120