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Energy consumption and economic growth: evidence from nonlinear panel cointegration and causality tests

机译:能源消耗和经济增长:来自非线性面板协整和因果关系检验的证据

摘要

In this paper, we propose a nonlinear cointegration test for heterogeneous panels where the alternative hypothesis is an exponential smooth transition (ESTAR) model. We apply our tests for investigating cointegration relationship between energy consumption and economic growth for the G7 countries covering the period 1977-2007. Moreover, we estimate a nonlinear Panel Vector Error Correction Model in order to analyze the direction of the causality between energy consumption and economic growth. By using nonlinear causality tests we analyze the causality relationships in low economic growth and high economic growth regimes. Furthermore, we deal with the cross section dependency problem in both nonlinear panel cointegration test and nonlinear Panel Vector Error Correction Model.
机译:在本文中,我们提出了一种针对异构面板的非线性协整检验,其中替代假设是指数平滑过渡(ESTAR)模型。我们将测试用于调查G7国家1977年至2007年期间能源消耗与经济增长之间的协整关系。此外,我们估计了非线性面板矢量误差校正模型,以分析能耗与经济增长之间因果关系的方向。通过使用非线性因果关系检验,我们分析了低经济增长和高经济增长机制下的因果关系。此外,我们在非线性面板协整测试和非线性面板矢量误差校正模型中都处理截面相关性问题。

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