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Unit Roots, Polynomial Transformations and the Environmental Kuznets Curve Author info | Abstract | Publisher info | Download info | Related research | Statistics Gang Liu, Terje Skjerpen, Anders Rygh Swensen and Kjetil Telle () (Statistics Norway )
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Time-series regressions including non-linear transformations of an integrated variable are not uncommon in various fields of economics. In particular, within the Environmental Kuznets Curve (EKC) literature, where the effect on the environment of income levels is investigated, it is standard procedure to include a third order polynomial in the income variable. When the income variable is an I(1)-variable and this variable is also included nonlinearly in the regression relation, the properties of the estimators and standard inferential procedures are unknown. Surprisingly, such problems have received rather limited attention in applied work, and appear disregarded in the EKC literature. We investigate the properties of the estimators of long-run parameters using Monte-Carlo simulations. We find that the mean of the ordinary least squares estimates are very similar to the true values and that standard testing procedures based on normality behave rather well.
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Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number
443.
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Date of creation: Jan 2006Date of revision:
Handle: RePEc:ssb:dispap:443Contact details of provider: Postal: P.O.Box 8131 Dep, N-0033 Oslo, Norway Phone: (+47) 21 09 00 00 Fax: (+47) 21 09 49 73 Email: Web page: http://www.ssb.no More information through EDIRC
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Keywords: Emissions ; Environmental Kuznets Curve ; Unit Roots ; Monte Carlo Simulations ; Other versions of this item:
Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Econometric and Statistical Methods; Specific Distributions C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
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Gang Liu, 2006.
"A causality analysis on GDP and air emissions in Norway ,"
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447, Research Department of Statistics Norway.
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