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Relación a largo plazo entre consumo de energía y PIB en América Latina: Una evaluación empírica con datos panel

  • Carlos Alberto Barreto Nieto

    ()

  • Jacobo Campo Robledo

    ()

El objetivo principal de esta investigación es evaluar la relación a largo plazo entre el consumo de energía y el producto interno bruto (PIB) para algunos países de Latinoamérica en el periodo 1980-2009. La estimación se realiza con la metodología de datos panel no estacionarios, usando como forma de especificación una función de producción, con el objeto de controlar otras fuentes de variación del PIB como trabajo y capital. Con este propósito se utilizan test de raíz unitaria para identificar la no estacionariedad de las variables y el test de cointegración en panel de Pedroni (2004) con la finalidad de evitar una regresión espuria (Entorf, 1997; Kao, 1999).

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File URL: http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/1793/1843
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Article provided by UNIVERSIDAD EAFIT in its journal REVISTA ECOS DE ECONOMÍA.

Volume (Year): (2012)
Issue (Month): ()
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Handle: RePEc:col:000442:010508
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  1. Kaddour Hadri, 1999. "Testing For Stationarity In Heterogeneous Panel Data," Research Papers 1999_04, University of Liverpool Management School.
  2. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  3. Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
  4. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
  5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  6. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  7. Phillips, Peter C B & Hansen, Bruce E, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Wiley Blackwell, vol. 57(1), pages 99-125, January.
  8. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers 2000-02, Department of Economics, Williams College.
  9. Westerlund, Joakim, 2005. "Testing for Panel Cointegration with Multiple Structural Breaks," Working Papers 2005:12, Lund University, Department of Economics.
  10. Peter C.B. Phillips & Sam Ouliaris, 1987. "Asymptotic Properties of Residual Based Tests for Cointegration," Cowles Foundation Discussion Papers 847R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1988.
  11. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
  12. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
  13. Sadorsky, Perry, 2012. "Energy consumption, output and trade in South America," Energy Economics, Elsevier, vol. 34(2), pages 476-488.
  14. Entorf, Horst, 1997. "Random walks with drifts: Nonsense regression and spurious fixed-effect estimation," Journal of Econometrics, Elsevier, vol. 80(2), pages 287-296, October.
  15. Apergis, Nicholas & Payne, James E., 2012. "Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 34(3), pages 733-738.
  16. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
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