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Robustesse du modèle d’évaluation d’impact de la Covid-19 au Cameroun: une approche par la modélisation VAR
[Robustness of economic impact assessment of Covid-19 in Cameroon: a Methodological VAR approach]

Author

Listed:
  • Kuikeu, Oscar

Abstract

It’s well assert that the credibility of results imbedded into an model lied on the significance of hypothesis used to build this kind of model. One of this offers the alternative that the term protection against Coronavirus becomes aside of the usual meaning by the idea that is not the right sens to save lifes but alternatively to have some rents on the goods concume into the economy. For this fact this is the main question we will try to answer, here. Globally speaking considering the results VAR Models is an suitable engine to realize this kind of exercise, in fact we have been able in the one hand to reproduce the past results but in the other to criticize severely the meaning placed on the term “protection” who is embedded at the head and the cornerstone of the previous studies.

Suggested Citation

  • Kuikeu, Oscar, 2021. "Robustesse du modèle d’évaluation d’impact de la Covid-19 au Cameroun: une approche par la modélisation VAR [Robustness of economic impact assessment of Covid-19 in Cameroon: a Methodological VAR a," MPRA Paper 106749, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:106749
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    File URL: https://mpra.ub.uni-muenchen.de/106749/1/MPRA_paper_106749.pdf
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    References listed on IDEAS

    as
    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
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    Cited by:

    1. Kuikeu, Oscar, 2021. "Ré-appréhension de la relation Ouverture ― Croissance : le rôle du facteur travail, du facteur capital et de la position extérieure de la nation. Cas de l’économie camerounaise [Reassessment of the," MPRA Paper 106836, University Library of Munich, Germany.

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    More about this item

    Keywords

    Models VAR; pandemic; protection;
    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
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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