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Econometric Modelling For Simulating The Economic Impact Of Structural Reforms In Romania: A Pilot Project


  • Ruxandra Savonea

    (Ph.D students at the Academy of Economy Studies)

  • Mihaela Ştefănescu

    (Ph.D students at the Academy of Economy Studies)


The aim of this research to set up a system which helps to estimate the impact of public funding from projects. The impact depends on all factors affecting demand for the good or service provided under the structural intervention at stake. Thus, the present research provides a pilot econometric model for simulating the main mechanisms that lead to public investment impact from the perspective of 42 counties for the year 2006. The importance of this time span is due to the fact that it represents the end of the second programming period for European Union funds and it reveals the impact of economic structural measures at microeconomic level. Data observed to estimate the linear regression model contain at least 50 observations and the t test, the F test and the coefficients of determination are used to analyse the worthiness of the model after prior estimation of the parameters. Findings showed that the independent element of the model is unbiased, whilst the regression coefficient is biased.

Suggested Citation

  • Ruxandra Savonea & Mihaela Ştefănescu, 2009. "Econometric Modelling For Simulating The Economic Impact Of Structural Reforms In Romania: A Pilot Project," Romanian Economic Business Review, Romanian-American University, vol. 4(4), pages 103-110, Winter.
  • Handle: RePEc:rau:journl:v:4:y:2009:i:4:p:103-110

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    References listed on IDEAS

    1. Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross-country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
    2. Miles, Daniel & Mora, Juan, 2003. "On the performance of nonparametric specification tests in regression models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 477-490, March.
    3. Amendola, Alessandra & Francq, Christian & Koopman, Siem Jan, 2006. "Special Issue on Nonlinear Modelling and Financial Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2115-2117, December.
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