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Estimating a NKBC Model for the U.S. Economy with Multiple Filters

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  • Efrem Castelnuovo

    () (University of Padua)

Abstract

This paper estimates a new-Keynesian DSGE model of the U.S. business cycle by employing a variety of business cycle proxies, either one-by-one or, following a recent proposal by Canova and Ferroni (2009), in a joint fashion. Objects such as posterior densities, impulse-response functions, and forecast error variance decompositions are shown to be remarkably sensitive to different filtering. This uncertainty notwithstanding, shocks to trend inflation are given robust support as the main inflation driver in the post-WWII era.

Suggested Citation

  • Efrem Castelnuovo, 2009. "Estimating a NKBC Model for the U.S. Economy with Multiple Filters," "Marco Fanno" Working Papers 0102, Dipartimento di Scienze Economiche "Marco Fanno".
  • Handle: RePEc:pad:wpaper:0102
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    References listed on IDEAS

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    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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