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This article presents a state-space representation known as parameters as states (PASTA) for linear market response models with time-varying parameters. The PASTA representation enables (a) conversion of the problem of estimating the time-varying effectiveness of marketing interventions from a...
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In this paper an Unobserved Components Model is employed to decompose U.S. real GDP into trend and cycle components … the long-run development during the last 50 years can be represented by a segmented linear trend with a break in the drift …
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. Estimates show that the trend and cycle innovations are positively correlated. There is evidence suggesting that trend output … growth has slowdown in the past decade. The Bayes factor result indicates that the GDP trend is better modeled as a …
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This note gives a fairly complete statistical description of the Hodrick-Prescott Filter (1997), originally proposed by Leser (1961). It builds on an approach to seasonal adjustment suggested by Leser (1963) and Schlicht (1981, 1984). A moments estimator for the smoothing parameter is proposed...
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The Hodrick-Prescott filter is a popular tool in macroeconomics for decomposing a time series into a smooth trend and a … regulations and policy changes generally lead to similar behaviours. Thus, those events should be absorbed by the trend component … of the trend-cycle decomposition, but the Hodrick-Prescott filter does not allow for jumps. We propose a modification of …
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