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

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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 regression; Cointegration; Deadweight loss; Error-correction model; Gasoline demand; Time-varying coefficient; Cointegration; Error correction models; Gasoline demand; Gasoline tax; Income tax; Price elasticity; Time varying; Time-varying changes; Time-varying coefficient; Welfare analysis; Elasticity; Gasoline; Regression analysis; Taxation; Time varying systems; Error correction; cointegration analysis; commodity price; demand analysis; demand elasticity; error correction; fuel consumption; numerical model; petroleum; price dynamics; regression analysis; tax system; United States
제목
An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach
저자
Park, Sung-yong; Zhao, Guochang
DOI
10.1016/j.eneco.2009.10.002
발행일
2010-01
유형
Article
저널명
Energy Economics
권
32
호
1
페이지
110 ~ 120