The time aggregation properties of the Hodrick-Prescott (HP) filter to decompose a time series into trend and cycle are analized for the case of annual, quarterly, and monthly data. It is seen that aggregation of the disagreggate component estimators cannot be obtained as the exact result from applying an HP filter to the aggregate series (and viceversa).time series, estimators, business cycles
We discuss the problem of estimating M (>1) high-frequency (say, quarterly or monthly) time series u...
The Hodrick-Prescott filter is the probably most popular tool for trend estimation in economics. Com...
We discuss the problem of estimating M ( > 1) high-frequency (say, quarterly or monthly) time series...
Maravall and del Río (2001), analized the time aggregation properties of the Hodrick-Prescott (HP) f...
En este trabajo se analizan las propiedades de agregacion del filtro Hodrick- Prescott (HP), utiliza...
The Hodrick-Prescott (HP) filter is a commonly used tool in macroeconomics used to extract a trend c...
The authors assess the ability of the Hodrick-Prescott filter (HP) and the band-pass filter proposed...
We consider business cycle estimation with Hodrick-Prescott (HP)-type filters. We address, first, t...
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), a...
The Hodrick-Prescott filter applied to seasonally adjusted series has become a paradigm for business...
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), a...
Bei der Analyse ökonomischer/historischer Zeitreihen ist die Bestimmung des Trends seit langem eines...
It is common practice in business cycle analysis for researchers to filter out low frequency compone...
Much work in macroeconomics relies on detrending a time series prior to analysis. A popular method o...
Abstract: Trend extraction from time series is often performed by using the filter proposed by L ()...
We discuss the problem of estimating M (>1) high-frequency (say, quarterly or monthly) time series u...
The Hodrick-Prescott filter is the probably most popular tool for trend estimation in economics. Com...
We discuss the problem of estimating M ( > 1) high-frequency (say, quarterly or monthly) time series...
Maravall and del Río (2001), analized the time aggregation properties of the Hodrick-Prescott (HP) f...
En este trabajo se analizan las propiedades de agregacion del filtro Hodrick- Prescott (HP), utiliza...
The Hodrick-Prescott (HP) filter is a commonly used tool in macroeconomics used to extract a trend c...
The authors assess the ability of the Hodrick-Prescott filter (HP) and the band-pass filter proposed...
We consider business cycle estimation with Hodrick-Prescott (HP)-type filters. We address, first, t...
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), a...
The Hodrick-Prescott filter applied to seasonally adjusted series has become a paradigm for business...
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), a...
Bei der Analyse ökonomischer/historischer Zeitreihen ist die Bestimmung des Trends seit langem eines...
It is common practice in business cycle analysis for researchers to filter out low frequency compone...
Much work in macroeconomics relies on detrending a time series prior to analysis. A popular method o...
Abstract: Trend extraction from time series is often performed by using the filter proposed by L ()...
We discuss the problem of estimating M (>1) high-frequency (say, quarterly or monthly) time series u...
The Hodrick-Prescott filter is the probably most popular tool for trend estimation in economics. Com...
We discuss the problem of estimating M ( > 1) high-frequency (say, quarterly or monthly) time series...