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The long-term causality. A comparative study for some EU countries

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  • Ioana Viașu

    (Faculty of Economics and Business Administration, West University of Timisoara)

Abstract

Confronted with the inadequacies of the macro econometric models of Keynesian inspiration, Sims (1980) formulates the famous criticism of Sims and proposes a multivariate modelling, where the only limitations are the choice of the selected variables and the number of integrated delays. An alternative to this formulation is the starting point of this article namely, only statistical data can confirm a theory. As it is well-known, the endogenous growth models usually examine all kinds of dependencies between macroeconomic variables. In this paper, we propose an analytical approach of some of these dependencies via the VAR approach, in order to put in evidence the causal effect and to do a comparative study of three EU countries Germany, France and Romania. The obtained results widely confirm the theoretical hypotheses of the endogenous growth models.

Suggested Citation

  • Ioana Viașu, 2015. "The long-term causality. A comparative study for some EU countries," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(2), pages 28-35, December.
    • Handle: RePEc:ntu:ntcmss:vol3-iss2-15-028
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    vector autoregressive model; economic growth; causality test;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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