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The Band Pass Filter
Lawrence J. Christiano
Northwestern University; Federal Reserve Bank of Cleveland; Federal Reserve Bank of Chicago; Federal Reserve Bank of Minneapolis; National Bureau of Economic Research (NBER)
Terry J. Fitzgerald
Organization for Economic Co-Operation and Development (OECD)
July 1999
NBER Working Paper No. w7257
Abstract:
The `ideal' band pass filter can be used to isolate the component of a time series that lies within a particular band of frequencies. However, applying this filter requires a dataset of infinite length. In practice, some sort of approximation is needed. Using projections, we derive approximations that are optimal when the time series representations underlying the raw data have a unit root, or are stationary about a trend. We identify one approximation which, though it is only optimal for one particular time series representation, nevertheless works well for standard macroeconomic time series. To illustrate the use of this approximation, we use it to characterize the change in the nature of the Phillips curve and the money-inflation relation before and after the 1960s. We find that there is surprisingly little change in the Phillips curve and substantial change in money growth-inflation relation.
Number of Pages in PDF File: 73
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Date posted: March 9, 2000
Suggested CitationChristiano, Lawrence J. and Fitzgerald , Terry J., The Band Pass Filter (July 1999). NBER Working Paper No. w7257. Available at SSRN: http://ssrn.com/abstract=202436
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