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A P* Model of Inflation in Puerto Rico

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  • Rodríguez, Carlos A.

Abstract

One can analyze and forecast the inflationary potential in the Puerto Rican economy using the “P* model.” Given the nature of the monetary sector in Puerto Rico (PR), the model is put into the context of variables from the mainland United States (US). The results indicate a long-run relationship between the money supply (M1) of the US and the price level in PR, between M1 and real production in PR, and between M1 and the prime rate in PR. The implications for forecasting and policy are discussed.

Suggested Citation

  • Rodríguez, Carlos A., 2004. "A P* Model of Inflation in Puerto Rico," MPRA Paper 41278, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:41278
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    References listed on IDEAS

    as
    1. Galindo, Luis Miguel, 1997. "El modelo P* como indicador de la política monetaria en una economía con alta inflación," El Trimestre Económico, Fondo de Cultura Económica, vol. 64(254), pages 221-239, abril-jun.
    2. Kenneth N. Kuttner, 1989. "Monetary and non-monetary sources of inflation: an error correction analysis," Working Paper Series, Macroeconomic Issues 89-15, Federal Reserve Bank of Chicago.
    3. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    4. Richard G. Anderson & Jeffrey J. Hallman, 1993. "Has the long-run velocity of M2 shifted? Evidence from the P* model," Economic Review, Federal Reserve Bank of Cleveland, vol. 29(Q I), pages 14-26.
    5. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    6. Hall, Stephen G & Milne, Alistair, 1994. "The Relevance of P-Star Analysis to UK Monetary Policy," Economic Journal, Royal Economic Society, vol. 104(424), pages 597-604, May.
    7. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    More about this item

    Keywords

    Econometric Modeling; Time Series Analysis; Forecasting Methods; Monetary Economics;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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