This paper examines historical data on daily real wages in England for the time period 1260-1994 by means of new statistical techniques suitable for modelling long memory both at the long run and the cyclical frequencies. Specifically, it uses a procedure due to Robinson (1994) which is based, for the cyclical component, on Gegenbauer processes. We test for the presence of unit (and fractional) roots at both the zero and the cyclical frequencies, and find that the root at the zero frequency plays a much more important role than the cyclical one, though the latter frequency also has a component of long memory behaviour. It also appears that the trending (zero frequency) component is nonstationary while the cyclical one is stationary, with sh...
This paper examines the stochastic properties of aggregate macroeconomic time series from the standp...
RePEc Working Paper Series: No: 56/2010The paper discusses a range of modern time series methods tha...
Breaking ground from all previous studies, we estimate a time-varying Vector Autoregression model th...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
We consider two important features of the historical US price data (1774–2015), namely the data’s pe...
We consider two important features of the historical US price data (1774–2015), namely the data’s pe...
As it is almost 50 years since the Phillips curve, we analyze an historical series on UK wages and t...
In Bianchi (1993), we suggested an algorithm for estimating in time series the number and the locati...
As it is almost 50 years since Phillips (1958), we analyze an historical series on UK wages and thei...
Industrial production cycles: a historical analysis of frequencies by Pierre Villa This paper uses...
This thesis focuses on a comprehensive analysis of the sources of business cycle fluctuations in the...
We discuss the relevance of long memory for the investigation of long-term economic growth and then ...
The paper discusses a range of modern time series methods that have become popular in the past 20 ye...
The conflicting empirical evidence on the cyclicality of real wages may be a result of the fact that...
This paper examines the stochastic properties of aggregate macroeconomic time series from the standp...
RePEc Working Paper Series: No: 56/2010The paper discusses a range of modern time series methods tha...
Breaking ground from all previous studies, we estimate a time-varying Vector Autoregression model th...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
We consider two important features of the historical US price data (1774–2015), namely the data’s pe...
We consider two important features of the historical US price data (1774–2015), namely the data’s pe...
As it is almost 50 years since the Phillips curve, we analyze an historical series on UK wages and t...
In Bianchi (1993), we suggested an algorithm for estimating in time series the number and the locati...
As it is almost 50 years since Phillips (1958), we analyze an historical series on UK wages and thei...
Industrial production cycles: a historical analysis of frequencies by Pierre Villa This paper uses...
This thesis focuses on a comprehensive analysis of the sources of business cycle fluctuations in the...
We discuss the relevance of long memory for the investigation of long-term economic growth and then ...
The paper discusses a range of modern time series methods that have become popular in the past 20 ye...
The conflicting empirical evidence on the cyclicality of real wages may be a result of the fact that...
This paper examines the stochastic properties of aggregate macroeconomic time series from the standp...
RePEc Working Paper Series: No: 56/2010The paper discusses a range of modern time series methods tha...
Breaking ground from all previous studies, we estimate a time-varying Vector Autoregression model th...