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Incorporating Expert Judgment in Economic Forecasts: The Case of the U.S. Economy in 1992

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Models, Methods, Concepts & Applications of the Analytic Hierarchy Process

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 175))

Abstract

Professional and academic economists employ a variety of techniques and commit significant amounts of time and financial resources for the purpose of producing macroeconomic forecasts. This chapter illustrates the use of the Analytic Hierarchy Process in forecasting.

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Notes

  1. 1.

    An alternative measure of U.S. aggregate economic activity is now used by the U.S. Department of Commerce: namely, gross domestic product (GDP), which nets out international factor payments and receipts. We will continue to cite GNP patterns in this chapter for historical purposes. Currently, real GNP is running slightly higher than real GDP.

Bibliography

  1. Adams FG (1986) The business forecasting revolution. Oxford University Press, Oxford

    Google Scholar 

  2. Council of Economic Advisors (1993) Economic Report of the President

    Google Scholar 

  3. Fair RC (1984) Specification, estimation, and analysis of Macroeconometric models. Harvard University Press, Cambridge

    Google Scholar 

  4. Forman E, Saaty TL Expert Choice Software, produced by Expert Choice, Inc., 4922 Ellsworth Avenue, Pittsburgh, PA

    Google Scholar 

  5. Hall TE (1990) Business cycles—The nature and causes of economic fluctuation. Praeger, New York

    Google Scholar 

  6. Hershey RD Jr (1992) June 18, Good Riddance to Recession? New York Times, 1992

    Google Scholar 

  7. Hershey RD Jr, (1992) December 23, This Just In: Recession Ended 21 Months Ago, New York Times, 1992

    Google Scholar 

  8. Miller GA (1956) The magical number seven plus or minus two: some limits on our capacity of processing information. Psychol Rev 63:81–97

    Article  Google Scholar 

  9. Saaty TL, Vargas LG (1991) Prediction, projection and forecasting. Kluwer Academic, Boston

    Google Scholar 

  10. Saaty TL (1990) Multicriteria decision making: the analytic hierarchy process. RWS Publications, Pittsburgh

    Google Scholar 

  11. Saaty TL, Alexander JM (1989) Conflict resolution: the analytic hierarchy approach. Praeger, New York

    Google Scholar 

  12. Saaty TL, Kearns KP (1985) Analytical planning: the organization of systems. Pergamon Press, New York

    Google Scholar 

  13. Sorkin AL (1988) Monetary and fiscal policy and business cycles in the modern Era. Lexington Books, Lexington

    Google Scholar 

  14. U.S. Department of Commerce, Survey of Current Business, various issues

    Google Scholar 

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Correspondence to Thomas L. Saaty .

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© 2012 Springer Science+Business Media New York

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Saaty, T.L., Vargas, L.G. (2012). Incorporating Expert Judgment in Economic Forecasts: The Case of the U.S. Economy in 1992. In: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. International Series in Operations Research & Management Science, vol 175. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3597-6_13

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