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Modelos de Estimación de la Brecha de Producto: Aplicación al PIB de la República Dominicana
[Models for Estimating the Output Gap: Application to the GDP of Dominican Republic]

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  • Francisco, Ramirez

Abstract

This document compares the proprieties of different empirical methodologies to estimate the output gap and the potential output (non-observable variables of interest to the design of monetary policy and macroeconomic analysis) using Dominican Republic as a case of study. The output gap and potential output are estimated with three different methods: univariated filters, non-observable variables methodology; and structural autorregresive vector (SVAR). Also, using all measures of output gap, a Phillip’s curve is estimated with each measure to evaluate the usability of these in macroeconometric models of policy analysis and forecast.

Suggested Citation

  • Francisco, Ramirez, 2011. "Modelos de Estimación de la Brecha de Producto: Aplicación al PIB de la República Dominicana [Models for Estimating the Output Gap: Application to the GDP of Dominican Republic]," MPRA Paper 38886, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:38886
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    References listed on IDEAS

    as
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    5. Cruz Rodriguez, Alexis & Francos Rodriguez, Martin, 2008. "Estimaciones alternativas del PIB potencial en la República Dominicana [Alternative methods to estimate the potential GDP of the Dominican Republic]," MPRA Paper 15614, University Library of Munich, Germany.
    6. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
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    8. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
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    More about this item

    Keywords

    Potential Output; Unobserved Component Model; Structural VAR;
    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
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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