wavcoreinf-package | R Documentation |
wavcoreinf
provides a flexible estimation and
evaluation of wavelet core inflation from wavelet-based signal
estimation methods. Functionals are developed to facilitate
the estimation of several specifications permitting
the selection of the best one according to specific criteria
established in the core inflation literature.
The wavelet methods for signal estimation are those
available in three R packages
:
wmtsa
EbayesThresh
wavethresh
The specific methods are explained on the help page of
the functions: wmtsa::wavShrink
,
EbayesThresh::ebayesthresh.wavelet
and
wavethresh::threshold.wd
The textbooks by Percival and Walden (2000) and Nason (2008) explain in more details these methods.
Certain criteria that a good core inflation measure should satisfy and which are analyzed in this package include the following:
Standard desviaton
Bias
Trend representation
Dynamic adjustment
Forecasting
Examples using wavelet methods to construct core inflation measure can be viewed in the works of Baqaee (2010) and Dowd and Loh (2011). A general discussion of core inflation measures for the Brazilian case is available in Silva Filho and Figueiredo (2011).
Maintainer: Nelson Silva nelson16silva@gmail.com
Baqaee, David (2010). Using wavelets to measure core inflation: The case of New Zealand, The North American Journal of Economics and Finance, Volume 21, Issue 3, Pages 241-255.
Dowd, K., Cotter, J., & Loh, L. (2011). U.S. core inflation: a wavelet analysis. Macroeconomic Dynamics, 15(4), 513-536.
Nason, G.P. (2008). Wavelet Methods in Statistics with R (1 ed.). Springer Publishing Company, Incorporated.
Percival, D., & Walden, A. (2000). Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathematics). Cambridge: Cambridge University Press.
Silva Filho, Tito N. Teixeira da, & Figueiredo, Francisco Marcos R. (2011). Has core inflation been doing a good job in Brazil?. Revista Brasileira de Economia, 65(2), 207-233.
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