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Interpolation and backdating with a large information set
Angelini, Elena; Henry, Jérôme; Marcellino, Massimiliano - 2003
Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series … develop an interpolation method that exploits the estimated factors as an efficient summary of all the available information … interpolation but again be reduced with multivariate approaches, including factor-based ones. …
Persistent link: https://www.econbiz.de/10011604298
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Trend Extraction From Time Series With Structural Breaks and Missing Observations
Schlicht, Ekkehart - 2008
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. Practical problems arise, however, if the time series contains structural breaks (as produced by German unification for German time series, for instance),...
Persistent link: https://www.econbiz.de/10010427520
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Trend extraction from time series with structural breaks
Schlicht, Ekkehart - 2007
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. A practical problem arises, however, when the time series contains structural breaks (such as produced by German unification for German time series, for...
Persistent link: https://www.econbiz.de/10003470549
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Trend extraction from time series with missing observations
Schlicht, Ekkehart - 2007
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. A practical problem arises, however, when some data points are missing. This note proposes a method for coping with this problem
Persistent link: https://www.econbiz.de/10003470551
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Trend extraction from time series with structural breaks and missing observations
Schlicht, Ekkehart - 2008
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. Practical problems arise, however, if the time series contains structural breaks (as produced by German unification for German time series, for instance),...
Persistent link: https://www.econbiz.de/10003951479
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Pooling-based data interpolation and backdating
Marcellino, Massimiliano - C.E.P.R. Discussion Papers - 2005
Pooling forecasts obtained from different procedures typically reduces the mean square forecast error and more generally improves the quality of the forecast. In this paper we evaluate whether pooling interpolated or backdated time series obtained from different procedures can also improve the...
Persistent link: https://www.econbiz.de/10005124455
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Trend Extraction From Time Series With Missing Observations
Schlicht, Ekkehart - Volkswirtschaftliche Fakultät, … - 2007
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. A practical problem arises, however, when some data points are missing. This note proposes a method for coping with this problem.
Persistent link: https://www.econbiz.de/10005187274
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Trend Extraction From Time Series With Structural Breaks
Schlicht, Ekkehart - Volkswirtschaftliche Fakultät, … - 2007
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. A practical problem arises, however, when the time series contains structural breaks (such as produced by German unification for German time series, for...
Persistent link: https://www.econbiz.de/10005187327
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Interpolation and backdating with a large information set
Angelini, Elena; Henry, Jérôme; Marcellino, Massimiliano - European Central Bank - 2003
Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series … develop an interpolation method that exploits the estimated factors as an efficient summary of all the available information … interpolation but again be reduced with multivariate approaches, including factor-based ones. JEL Classification: C32, C43, C82 …
Persistent link: https://www.econbiz.de/10005530985
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Trend Extraction From Time Series With Structural Breaks and Missing Observations
Schlicht, Ekkehart - Volkswirtschaftliche Fakultät, … - 2008
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. Practical problems arise, however, if the time series contains structural breaks (as produced by German unification for German time series, for instance),...
Persistent link: https://www.econbiz.de/10005649812