Estimation of the smoothing parameters in the HPMV filter

A. Dermoune, B. Djehiche, N. Rahmania

Research output: Contribution to journalArticlepeer-review

Abstract

We suggest an optimality criterion, for choosing the best smoothing parameters for an extension of the so-called Hodrick-Prescott Multivariate (HPMV) filter. We show that this criterion admits a whole set of optimal smoothing parameters, to which belong the widely used noise-to-signal ratios. We also propose explicit consistent estimators of these noise-to-signal ratios, which in turn yield a new performant method to estimate the output gap.

Original languageEnglish (US)
Pages (from-to)61-75
Number of pages15
JournalAnalele Stiintifice ale Universitatii Al I Cuza din Iasi - Matematica
Volume57
Issue number1
DOIs
StatePublished - 2011

Keywords

  • Adaptive estimation
  • Detrending
  • Gaussian process
  • Hodrick-prescott filter
  • Noiseto-signal ratio
  • Orthogonal parametrization
  • Output gap
  • Potential output
  • Unobserved components models

ASJC Scopus subject areas

  • General Mathematics

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