Browsing by Author "Thomson, Peter"

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Open Access
A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy
(Te Herenga Waka—Victoria University of Wellington, 2022) Hall, Viv B; Thomson, Peter
We investigate whether the boosted HP filter (bHP) proposed by Phillips and Shi (2021) might be preferred for New Zealand trend and growth cycle analysis, relative to using the standard HP filter (HP1600). We do this for a representative range of quarterly macroeconomic time series typically used in small theoretical and empirical macroeconomic models, and address the following questions. Tradition dictates that business cycle periodicities lie between 6 and 32 quarters (e.g. Baxter and King, 1999) (BK). In the context of more recent business cycle durations, should periodicities up to 40 quarters or more now be considered? Phillips and Shi (2021) propose two stopping rules for selecting a bHP trend. Does it matter which is applied? We propose other trend selection criteria based on the cut-off frequency and sharpness of the trend filter. Are stylised business cycle facts from bHP filtering materially different to those produced from HP1600? In particular, does bHP filtering lead to New Zealand growth cycles which are noticeably different from those associated with HP1600 or BK filtering? HP1600 is commonly used as an omnibus filter across all key macroeconomic variables. Does the greater flexibility of bHP filtering provide better alternatives? We conclude that the 6 to 32 quarter business cycle periodicity is sufficient to reflect New Zealand growth cycles and determine stylised business cycle facts and, for our representative 13-variable macroeconomic data set, using a bHP filter (2HP1600) as an omnibus filter is preferable to using the HP1600 filter.
Open Access
Does Hamilton’s OLS regression provide a “better alternative” to the Hodrick-Prescott filter? A New Zealand Business Cycle Perspective
(Te Herenga Waka—Victoria University of Wellington, 2020) Hall, Viv B; Thomson, Peter
Within a New Zealand business cycle context, we assess whether Hamilton’s (H84) OLS regression methodology produces stylised business cycle facts which are materially different from HP1600 measures, and whether using the H84 predictor and other forecast extensions improves the HP filter’s properties at the ends of series. In general, H84 produces exaggerated volatilities and less credible trend movements during key economic periods so there is no material advantage in using H84 de-trending over HP1600. At the ends, the forecast-extended HP filter almost always performs better than the HP filter with no extension which performs slightly better than H84 forecast extension.
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MDIA102: Media Studies: Media, Society and Politics
(Victoria University of Wellington, 2013) Thomson, Peter
Open Access
On trend robustness and end-point issues for New Zealand’s stylised business cycle facts
(Te Herenga Waka—Victoria University of Wellington, 2015) Hall, Viv; Thomson, Peter; McKelvie, Stuart
We present new empirical evidence on trend robustness and end-point issues, utilising the macroeconomic data set investigated in McKelvie and Hall (2012). We consider the relative merits of non-robust Hodrick-Prescott (HP) and robust loess (LOcal regrESSion) trend filtering methods, and assess the sensitivity of HP1600 stylised facts to (i) the considerable “supply shock” deviations from trend associated with New Zealand’s 1992 power crisis, and (ii) an alternative HP100 specification and the loess approach. On end-point issues, we assess value-added from the use of seven-point triangular moving average and HP1600 filters, relative to insights from a 21-quarter uniform moving average filter.