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MACROECONOMIC FORECASTING BASED ON A SAM MODEL OF THE ROMANIAN ECONOMY - Part I – Main Features of the Model

Author

Listed:
  • Stanica, Cristian

    (Institute for Economic Forecasting)

Abstract

This paper presents an introduction to the theoretical background of a Social Accounting Model of the Romanian economy. The model will be implemented in order to forecast the main indicators of the NIPA system, Balance of Payments, Government Accounts and Monetary Survey. All these indicators constructed in the IMF financial structure are forecasted in five linked Excel spreadsheets: NatAcc, Trade, Foreign, GovAcc, MoneyAcc and then are translated into new variables of the matrix of the flow of funds of the institutional sectors.

Suggested Citation

  • Stanica, Cristian, 2004. "MACROECONOMIC FORECASTING BASED ON A SAM MODEL OF THE ROMANIAN ECONOMY - Part I – Main Features of the Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 1(1), pages 92-96, February.
  • Handle: RePEc:rjr:romjef:v:1:y:2004:i:1:p:92-96
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    Citations

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    Cited by:

    1. Stanica, Cristian Nicolae, 2011. "Modeling Government Policies used for Sustaining Economic Growth in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 90-105, December.
    2. Stanica, Cristian, 2011. "Modelarea sectorului administratiei publice in corelatie cu indicatorii cresterii economice - Conferinta CRESTERE ECONOMICA SI SUSTENABILITATE SOCIALA. PROVOCARI SI PERSPECTIVE EUROPENE>," Institute for Economic Forecasting Conference Proceedings 101102, Institute for Economic Forecasting.
    3. repec:ebl:ecbull:v:15:y:2007:i:17:p:1-14 is not listed on IDEAS
    4. Sanjaya Acharya, 2007. "Flow Structure in Nepal and the Benefit to the Poor," Economics Bulletin, AccessEcon, vol. 15(17), pages 1-14.

    More about this item

    Keywords

    macroeconomic modeling and forecasting; social accounting model;

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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