Hodrick-Prescott filtering of Large, emerging Economies and Analysis of Russian GDP Growth
نویسندگان
چکیده
منابع مشابه
Trend Filtering: Empirical Mode Decompositions versus ℓ1 and Hodrick-Prescott
Considering the problem of extracting a trend from a time series, we propose a novel approach based on empirical mode decomposition (EMD), called EMD trend filtering. The rationale is that EMD is a completely data-driven technique, which offers the possibility of estimating a trend of arbitrary shape as a sum of low-frequency intrinsic mode functions produced by the EMD. Based on an empirical a...
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Hodrick and Prescott (1997) proposed a smoothing method for economic time series that is very similar to graduation, it is usually known as the H-P method. They acknowledged that this method is equivalent to graduation methods and that it had been in use among actuaries. The literature on smoothing methods based on their approach grew separately from the graduation literature, due to the useful...
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The irregular and slope disturbances, εt and ζt, respectively, are mutually independent and the notation NID(0, σ2) denotes normally and independently distributed with mean zero and variance σ2. The signal-noise ratio, q = σ2 ζ/σ 2 ε , plays the key role in determining how observations should be weighted for prediction and signal extraction. The higher is q, the more past observations are disco...
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The Hodrick-Prescott (HP) filter is widely used in the field of economics to estimate trends and cycles from time series data. For certain applications – such as deriving implied trend and cycle models and obtaining filter weights – it is desirable to express the frequency response of the HP as the spectral density of an ARMA model; in other words, to accomplish the spectral factorization of th...
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ژورنال
عنوان ژورنال: Athens Journal of Business & Economics
سال: 2015
ISSN: 2241-794X
DOI: 10.30958/ajbe.1-4-2