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

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  • Omay, Tolga

    (Cankaya University, Ankara, Turkey)

  • Hasanov, Mübariz

    (Okan University, Ankara, Turkey)

  • Uçar, Nuri

    (Hacettepe University; Ankara, Turkey)

Abstract

In this paper, we examine nonlinear interrelationship between energy consumption and output level for a panel of G7 countries. For this purpose, we propose a nonlinear cointegration test in heterogeneous panels for testing the presence of a co-integrating relationship that follows a globally stationary expo-nential smooth transition (ESTR) process, and apply our test for investigating long-run relationship between energy use and economic growth in the case of the G7 countries. Our results suggest the presence of a long-run relationship between these two variables whereas adjustment to the equilibrium is inherently nonlinear. After establishing long-run relationship between energy consumption and output, we estimate a Panel Smooth Transition Vector Error Correction Model and apply nonlinear Granger causality tests in order to analyze the direction of the causality between these variables. We find that the causality between energy consumption and output level is dependent on the phases of business cycle. Our results highlight importance of taking account of possible nonlinearities in analyzing output-energy causality nexus and designing energy policies.

Suggested Citation

  • Omay, Tolga & Hasanov, Mübariz & Uçar, Nuri, 2014. "Energy consumption and economic growth: Evidence from nonlinear panel cointegration and causality tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 36-55.
    • Handle: RePEc:ris:apltrx:0236
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    Keywords

    nonlinear panel cointegration; nonlinear Panel Vector Error Correction Model; cross section dependency.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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