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Rethinking error correction model in macroeconometric analysis : A relevant review

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  • Christian Pinshi

    (UNIKIN - University of Kinshasa)

Abstract

The cointégration methodology has bridged the growing gap between economists and econometricians in understanding dynamics, equilibrium and bias on the reliability of macroeconomic and financial analysis, which is subject to non-stationary behavior. This paper proposes a comprehensive literature review on the relevance of the error correction model. Econometricians and economists have shown that error-correction model is a powerful machine that provides the economic system and macroeconomic policy with a refinement in the econometric results.

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  • Christian Pinshi, 2020. "Rethinking error correction model in macroeconometric analysis : A relevant review," Working Papers hal-02454971, HAL.
    • Handle: RePEc:hal:wpaper:hal-02454971
    Note: View the original document on HAL open archive server: https://hal.science/hal-02454971
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    References listed on IDEAS

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    1. NTUNGILA, Floribert & PINSHI, Christian P., 2019. "Fluctuations de prix des matières premières et économie congolaise : manne d’espoir ou de malédiction ? [Fluctuations in commodity price and the congolese economy: hope or curse manna?]," MPRA Paper 95409, University Library of Munich, Germany.
    2. Hendry, David F & Ericsson, Neil R, 1991. "An Econometric Analysis of U.K. Money Demand in 'Monetary Trends in the United States and the United Kingdom' by Milton Friedman and Anna Schwartz," American Economic Review, American Economic Association, vol. 81(1), pages 8-38, March.
    3. Mr. Armando Méndez Morales, 1998. "Determinants of Growth in an Error: Correction Model for El Salvador," IMF Working Papers 1998/104, International Monetary Fund.
    4. Karim Eslamloueyan & Ali Darvishi, 2007. "Credit Expansion and Inflation in Iran: An Unrestricted Error Correction Model," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 12(2), pages 105-126, spring.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Christian Pinshi & Emmanuel Sungani, 2018. "The Relevance Of Pass-Through Effect: Should We Revisit Monetary Policy Regime?," Post-Print hal-02566800, HAL.
    7. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    8. Dolado, Juan J & Jenkinson, Tim & Sosvilla-Rivero, Simon, 1990. "Cointegration and Unit Roots," Journal of Economic Surveys, Wiley Blackwell, vol. 4(3), pages 249-273.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Sandrine Lardic & Valérie Mignon, 2004. "Robert F. Engle et Clive W.J. Granger prix Nobel d'économie 2003," Revue d'économie politique, Dalloz, vol. 114(1), pages 1-15.
    11. Lau, Sau-Him Paul, 2008. "Using an error-correction model to test whether endogenous long-run growth exists," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 648-676, February.
    12. Tran Van Quang, 2007. "Testing Cointegration for Czech Stock Market [Testování kointegrace na českém akciovém trhu]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2007(4), pages 17-31.
    13. Marie-Josée Godbout & Simon van Norden, 1997. "Reconsidering Cointegration in International Finance: Three Case Studies of Size Distortion in Finite Samples," Staff Working Papers 97-1, Bank of Canada.
    14. Véronique Meuriot, 2015. "the concept of cointegration: the decisive meeting between hendry and granger (1975)," Cahiers d’économie politique / Papers in Political Economy, L'Harmattan, issue 68, pages 91-118.
    15. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
    16. Yash P. Mehra, 1991. "An error-correction model of U.S. M2 demand," Economic Review, Federal Reserve Bank of Richmond, vol. 77(May), pages 3-12.
    17. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
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    Cited by:

    1. Christian Pinshi & Anselme M Kabeya, 2020. "Financial development and Economic growth in the Democratic Republic of the Congo : Supply leading or Demand following?," Working Papers hal-02886686, HAL.
    2. Christian Pinshi, 2020. "On the causal nature between financial development and economic growth in the Democratic Republic of the Congo: Is it supply leading or demand following?," Working Papers hal-02898899, HAL.
    3. Bo Zhou & Lei Jiang, 2022. "Unsustainable Urban Development Based on Temporary Workers: A Study on the Changes of Immigration in Macau between 1992 and 2019," Land, MDPI, vol. 11(11), pages 1-19, November.
    4. PINSHI, Christian P. & KABEYA, Anselme M., 2020. "Développement financier et croissance économique en RDC : Supply leading ou demand folowing ? [Financial development and economic growth in the DRC : Supply leading or demand folowing ?]," MPRA Paper 101405, University Library of Munich, Germany.
    5. MULOWAYI, Francis K. & PINSHI, Christian P., 2023. "Lucas Paradox, Institutional Quality and Corruption: Evidence from D.R. Congo," MPRA Paper 117370, University Library of Munich, Germany.

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    More about this item

    Keywords

    Keys words : Cointegration; Error correction model; Macroeconomics JEL Classification : C32; E0;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E0 - Macroeconomics and Monetary Economics - - General

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