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 language | English (US) |
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Pages (from-to) | 61-75 |
Number of pages | 15 |
Journal | Analele Stiintifice ale Universitatii Al I Cuza din Iasi - Matematica |
Volume | 57 |
Issue number | 1 |
DOIs | |
State | Published - 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