U.S. petroleum consumption behavior and oil price uncertainty: Tests of cointegration and parameter instability

This study utilizes cointegration theory to correctly characterize U.S. petroleum consumption behavior. Initial estimates show the absence of any long-run, unique relationship among petroleum consumption, real income, and relative prices. However, the introduction of oil price uncertainty into this relationship shows the presence of a cointegrating relationship. Oil price uncertainty was introduced in two ways, namely, as an exogenous I(1) variable and as a regressand. Estimates of the cointegrating relationship are obtained using a variety of techniques such as the Johansen system, the Phillips-Hansen, the Stock-Watson, the Park canonical cointegrating regression, the Phillips spectral, and the Engle-Granger test procedures. Parameter instability of the cointegrating relationship is tested using methods discussed in Hansen [1992] and Hansen and Johansen [1993]. While previous studies in this literature have yielded mixed results on the issue of cointegration and ignored tests for parameter instability of the cointegrated systems, this study has presented new evidence on an empirically stable petroleum oil demand function.

[1]  Donald J. Meyer,et al.  US oil consumption, oil prices, and the macroeconomy , 1996 .

[2]  Adrian Pagan,et al.  The Econometric Analysis of Models with Risk Terms , 1988 .

[3]  Clifton T. Jones On the Estimation of Short- and Long-Run Elasticities in U. S. Petroleum Consumption: Reply , 1996 .

[4]  Jan Bentzen,et al.  On the Estimation of Short- and Long-Run Elasticities in U. S. Petroleum Consumption: Comment , 1996 .

[5]  M. Hashem Pesaran,et al.  Working with Microfit 4.0 : interactive econometric analysis , 1997 .

[6]  A. Arize The Effects of Exchange-Rate Volatility on U. S. Exports: An Empirical Investigation , 1995 .

[7]  A. Haldane On Inflation Targeting in the United Kingdom , 1998 .

[8]  D. Andrews Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation , 1991 .

[9]  Joon Y. Park Canonical Cointegrating Regressions , 1992 .

[10]  G. Casella,et al.  Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.

[11]  Søren Johansen,et al.  Determination of Cointegration Rank in the Presence of a Linear Trend , 1992 .

[12]  Mark W. Watson,et al.  A SIMPLE ESTIMATOR OF COINTEGRATING VECTORS IN HIGHER ORDER INTEGRATED SYSTEMS , 1993 .

[13]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[14]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[15]  Bruce E. Hansen,et al.  Tests for Parameter Instability in Regressions with I(1) Processes , 1992 .

[16]  Wojciech W. Charemza,et al.  NEW DIRECTIONS IN ECONOMETRIC PRACTICE , 1992 .

[17]  Michael Osterwald-Lenum A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics , 1992 .

[18]  Jurgen A. Doornik,et al.  Modelling Linear Dynamic Econometric Systems , 1994 .

[19]  V. Solo Errors in Variables and Cointegration , 1995, Econometric Theory.

[20]  M. Hooker,et al.  What happened to the oil price-macroeconomy relationship? , 1996 .

[21]  M. Hooker This is what happened to the oil price-macroeconomy relationship: Reply , 1996 .

[22]  J. Peter Ferderer,et al.  Oil price volatility and the macroeconomy , 1996 .

[23]  Juan J. Dolado,et al.  The Power of Cointegration Tests , 1992 .

[24]  Peter C. B. Phillips,et al.  Spectral Regression for Cointegrated Time Series , 1988 .

[25]  Peter C. B. Phillips,et al.  Statistical Inference in Instrumental Variables Regression with I(1) Processes , 1990 .

[26]  Clifton T. Jones A Single-Equation Study of U.S. Petroleum Consumption: The Role of Model Specification , 1993 .

[27]  James D. Hamilton This is what happened to the oil price-macroeconomy relationship , 1996 .

[28]  Søren Johansen,et al.  Recursive Estimation in Cointegrated VAR-Models , 1992 .