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The Carbon Kuznets Curve. A Cloudy Picture Emitted by Bad Econometrics?

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  • Wagner, Martin

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria)

Abstract

In recent years many empirical studies of environmental Kuznets curves employing unit root and cointegration techniques have been conducted for both time series and panel data. When using such methods several issues arise: the effects of a short time dimension, in a panel context the effects of cross-sectional dependence, and the presence of nonlinear transformations of integrated variables. We discuss and illustrate how ignoring these problems and applying standard methods leads to questionable results. Using an estimation approach that addresses the second and third problem we find no evidence for an inverse U-shaped relationship between GDP and CO2 emissions.

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Bibliographic Info

Paper provided by Institute for Advanced Studies in its series Economics Series with number 197.

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Length: 36 pages
Date of creation: Nov 2006
Date of revision:
Handle: RePEc:ihs:ihsesp:197

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Keywords: Carbon Kuznets Curve; Panel data; Unit roots; Cointegration; Cross-sectional dependence; Nonlinear transformations of regressors;

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References

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  1. Tests for Non-Linear Cointegration
    by David Stern in Stochastic Trend on 2010-10-22 03:19:00
  2. Between Estimates of the Emissions Income Elasticity
    by David Stern in Stochastic Trend on 2010-06-29 23:33:00
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