In this paper we estimate a standard version of the New Keynesian Monetary (NKM) model augmented with term structure in order to analyze two issues. First, we analyze the effect of introducing an explicit term structure channel in the NKM model on the estimated parameter values of the model,...

The term spread may play a major role in a monetary policy rule whenever data revisions of output and inflation are not well behaved. In this paper we use a structural approach based on the indirect inference principle to estimate a standard version of the New Keynesian Monetary (NKM) model...

Modern DSGE models are microfounded and have deep parameters that should be invariant to changes in economic policy, so in principle they are not subject to the Lucas critique. But the literature has already established that misspecification issues also cause parameter instability after policy...

During the last crisis, developed economies’ sovereign Credit Default Swap (hereafter CDS) premia have gained in importance as a tool for approximating credit risk. In this paper, we fit a dynamic factor model to decompose the sovereign CDS spreads of ten OECD economies into three components:...

For reasons of empirical tractability, analysis of cointegrated economic time series is often developed in a partial setting, in which a subset of variables is explictly modeled conditional on the rest. This approach yields valid inference only if the conditioning variables are weakly exogenous...

Realized volatilities, when observed over time, share the following stylised facts: comovements, clustering, long-memory, dynamic volatility, skewness and heavy-tails. We propose a dynamic factor model that captures these stylised facts and that can be applied to vast panels of volatilities as...

In the analysis of time series, it is frequent to classify perturbations as Additive Outliers (AO), Innovative Outliers (IO), Level Shift (LS) outliers or Transitory Change (TC) outliers. In this paper, a new outlier type, the Seasonal Level Shift (SLS), is introduced in order to complete the...

The paper deals with estimation of missing observations in possibly nonstationary ARIMA models. First, the model is assumed known, and the structure of the interpolation filter is analysed. Using the inverse or dual autocorrelation function it is seen how estimation of a missing observation is...

This paper investigates the identification and dating of the European business cycle, using different methods. We concentrate on methods and statistical series that provides timely and accurate information about the contemporaneous state of the economy in order to provide the reader with a...

The paper contains some implications for applied econometric research. Two important ones are, first, that invertible models, such as AR or VAR models, cannot in general be used to model seasonally adjusted or detrended data. The second one is that to look at the business cycle in detrended...