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P* type models: Evaluation and forecasts

  • Pecchenino, R. A.
  • Rasche, Robert H.

This paper critically evaluates the Federal Reserve's p* model of inflation, and develops a model of national income determination implicit in the p* formulation. We use this model to forecast the future paths of key macroeconomic variables and investigate its behavior under a variety of deterministic monetary policy rules. These forecasts and policy simulations suggest a dynamic economic behavior inconsistent with stylized facts, and lead us to question the underlying structure of the p* formulation.

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File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(90)90068-M
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Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 6 (1990)
Issue (Month): 3 (October)
Pages: 421-440

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Handle: RePEc:eee:intfor:v:6:y:1990:i:3:p:421-440
Contact details of provider: Web page: http://www.elsevier.com/locate/ijforecast

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  1. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  2. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1, June.
  3. Gould, John P & Nelson, Charles R, 1974. "The Stochastic Structure of the Velocity of Money," American Economic Review, American Economic Association, vol. 64(3), pages 405-18, June.
  4. Jeffrey J. Hallman & Richard D. Porter & David H. Small, 1989. "M2 per unit of potential GNP as an anchor for the price level," Staff Studies 157, Board of Governors of the Federal Reserve System (U.S.).
  5. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  6. Braun, Steven N, 1990. "Estimation of Current-Quarter Gross National Product by Pooling Preliminary Labor-Market Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 293-304, July.
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