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Measuring Measurement Error in Economic Time Series
Authors:Richard Ashley  David Vaughan
Affiliation:1. Economics Department , Virginia Polytechnic Institute and State University , Blacksburg , VA , 24061;2. McDonnell Douglas Corporation , Hazelwood , MO , 63042
Abstract:A spectral decomposition method is described for obtaining an upper bound on the amount of measurement error in a time series. The method is applied to generated data and to M1b, real GNP, and the CPI. The bounds provide insight into both the amount of measurement error in these series and the stochastic specification of the errors.
Keywords:Autoregressive moving average models  Estimated powers  Estimated significance levels  Lagrange multipler tests  Portmanteau tests  Separate tests  Varianceratio tests
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