Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...

This paper examines whether data from business tendency surveys are useful for forecasting the macro economy (GDP, unemployment, price and wage inflation, interest rates, exchange-rate changes etc.) in the short run. The starting point is a so-called dynamic factor model (DFM), which is used...

Since September 2004, Insee has published the results of its business survey in the services sector on a monthly basis together with a synthetic indicator. This indicator is extracted from both monthly and quarterly balances of opinion derived from the survey. The methodological framework is...