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The Identification Of Economic Phenomena Trends At Regional Level

Author

Listed:
  • Tudorel Andrei

    (Academy of Economic Studies Bucharest, Romania)

  • Andreea Iluzia Iacob

    (Academy of Economic Studies Bucharest, Romania)

  • Claudiu Herţeliu

    (Academy of Economic Studies Bucharest, Romania)

Abstract

Romania's economic development requires the reconsideration of certain policies at the development regions level. Currently, there are large gaps between Romanian development regions. Moreover, certain socio-economic development regions are among the poorest from the EU. In the national statistics were recorded important data sets to characterize the economic and social phenomena at the development regions level. For their exploitation can be used panel data methods. The creation of certain coherent economic and social policies at the development regions level represents an immediate requirement for the reduction of the disparities between Romania and the EU average level.

Suggested Citation

  • Tudorel Andrei & Andreea Iluzia Iacob & Claudiu Herţeliu, 2011. "The Identification Of Economic Phenomena Trends At Regional Level," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 2011, pages 209-214, july.
    • Handle: RePEc:aic:journl:y:2011:v:se:p:209-214
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    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
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    Cited by:

    1. Elena-Doina Dascalu & Andreea Mirica & Ioan Mincu-Radulescu, 2016. "Pursuing Higher Education: Privileged or Free Access in Romania?," Romanian Statistical Review, Romanian Statistical Review, vol. 64(3), pages 3-18, September.

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    More about this item

    Keywords

    panel data; pooled regression model; fixed effects model; tourist demand; tourist supply.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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