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2015
DOI: 10.1016/j.econmod.2015.09.001
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Fiscal policy tracking design in the time–frequency domain using wavelet analysis

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Cited by 20 publications
(54 citation statements)
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“…Following, Crowley and Hudgins (; ; ) , we apply the MODWT to the data using a two‐step procedure that extracts the crystals and the smooth trend at frequencies j = 1, …, 5, for the South African national income data, as well as the OECD data that is used to proxy foreign real GDP growth . The time‐frequency ranges for all wavelet decompositions are specified in Table 1.…”
Section: Modwt Wavelet Analysis Data and Backgroundmentioning
confidence: 99%
See 4 more Smart Citations
“…Following, Crowley and Hudgins (; ; ) , we apply the MODWT to the data using a two‐step procedure that extracts the crystals and the smooth trend at frequencies j = 1, …, 5, for the South African national income data, as well as the OECD data that is used to proxy foreign real GDP growth . The time‐frequency ranges for all wavelet decompositions are specified in Table 1.…”
Section: Modwt Wavelet Analysis Data and Backgroundmentioning
confidence: 99%
“…In this section, we derive an open‐economy version of the closed‐economy wavelet‐based models in Crowley and Hudgins (; ; ). For each MODWT‐decomposed variable, the equations specify the variable’s value at a given frequency range, while removing the cyclical effects at all other frequency ranges.…”
Section: Macroeconomic Model Derivationmentioning
confidence: 99%
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