Linear data transformations used in economics
The paper examines the properties of standard data transformations--such as growth rates and moving averages--used by applied economists. Because many resources are devoted to understanding the economic significance of incoming data by government and financial-market economists, for example, this paper considers data filters that do not drop recent observations, in contrast to the approximately "ideal" measures recently developed in the literature. Using frequency-domain techniques, it is established that moving averages of multi-period growth rates can attenuate the bias and phase shifts introduced by common data filters.
|Date of creation:||2001|
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- Lawrence J. Christiano & Terry J. Fitzgerald, 1999.
"The Band pass filter,"
9906, Federal Reserve Bank of Cleveland.
- Marianne Baxter & Robert G. King, 1999.
"Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series,"
The Review of Economics and Statistics,
MIT Press, vol. 81(4), pages 575-593, November.
- Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "BKFILTER: RATS procedure to implement band pass filter using Baxter-King method," Statistical Software Components RTS00026, Boston College Department of Economics.
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