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Aggregate Supply and Demand, Fundamental Variables of the Macroeconomic Prediciton

Author

Listed:
  • Constantin CIURLAU

    (University of Craiova)

  • Florin Cristian CIURLAU

    (University „Titu Maiorescu”, Târgu-Jiu)

Abstract

The macroeconomic prediction has extremely important, complex and difficult objectives in a competitive economy and that is due to a multitude of reasons. In this context, we estimated the fact that a key-role can be attribute to the anticipation and the projection of some essential balances of the development, process which is at the basis of the prospective study of the behaviors of the aggregate demand and offer – the concepts and the variables with the highest degree of generalization from the study of the economy and not only. We started in our study, from the analytical basics of the aggregate demand and offer, we pointed out the dependence of the production and of the prices on the interaction of the aggregate demand and offer, we used as working instruments the curves of the aggregate demand and supply and we outlines the consequences of the variation of the two sized under different circumstances.

Suggested Citation

  • Constantin CIURLAU & Florin Cristian CIURLAU, 2008. "Aggregate Supply and Demand, Fundamental Variables of the Macroeconomic Prediciton," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 3(36), pages 1109-1118, May.
  • Handle: RePEc:aio:aucsse:v:3:y:2008:i:11:p:1109-1118
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    More about this item

    Keywords

    aggregate demand; aggregate supply; balance price; potential production;

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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