Cointegrating Polynomial Regressions With Power Law Trends: Environmental Kuznets Curve or Omitted Time Effects?
Yicong Lin, Hanno Reuvers
The environmental Kuznets curve predicts an inverted U-shaped relationship between air pollution and economic growth. Current analyses frequently employ models that restrict nonlinearities in the data to be explained by economic growth only. We propose a Global Trend Augmented Cointegrating Polynomial Regression (GTACPR) to allow for nonlinearities in time and economic growth. The theoretical properties of the GTACPR are established. Empirically, a single global trend accurately captures all nonlinearities for all the countries studied, leading to a linear relationship between GDP and CO2. This suggests that the environmental improvement of the last years is due to factors different from GDP.
Year of publication: |
[2022]
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Authors: | Lin, Yicong ; Reuvers, Hanno |
Publisher: |
Amsterdam, The Netherlands : Tinbergen Institute |
Subject: | Cointegration Testing | Environmental Kuznets Curve | Cointegrating Polynomial Regression | Power Law Trends | Kointegration | Cointegration | Environmental Kuznets curve | Regressionsanalyse | Regression analysis | Schätztheorie | Estimation theory | Zeitreihenanalyse | Time series analysis |
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