If a consumer wishes to protect her retirement account from the risk of price changes in order to sustain a stable standard of living, then what price index should the account be indexed to? This paper constructs a dynamic price index (DPI) that answers this question. Unlike the existing theory...

This paper reexamines U.S. business cycle volatility since 1867. We employ dynamic factor analysis as an alternative to reconstructed national accounts. We find a remarkable volatility increase across World War I, which is reversed after World War II. While we can generate evidence of postwar...

Identifying banking crises is the first step in the research on determinants of banking crises. The prevailing practice is to employ market events to identify a banking crisis. Researchers justify the usage of this method on the grounds that either direct and reliable indicators of banks’...

This paper uses a dynamic factor model for the quarterly changes in consumption goods’ prices to separate them into three components: idiosyncratic relative-price changes, aggregate relative-price changes, and changes in the unit of account. The model identifies a measure of “pure”...

This Paper proposes a new forecasting method that exploits information from a large panel of time series. The method is based on the generalized dynamic factor model proposed in Forni, Hallin, Lippi, and Reichlin (2000), and takes advantage of the information on the dynamic covariance structure...

We construct a set of human capital indexes for the states of the United States for each Census year starting in 1940. To do so we propose a new methodology for the construction of index numbers in panel data sets. Our method is based on an optimal approach by which we choose the `best' set...

Index tracking requires building a portfolio of stocks (a replica) whose behaviour is as close as possible to that of a given stock index. Typically, much fewer stocks should appear in the replica than in the index, and there should be no low frequency (persistent) components in the tracking...

This paper analyzes identification conditions, and proposes an estimator, for a dynamic factor model where the idiosyncratic components are allowed to be mutually non-orthogonal. This model, which we call the generalized dynamic factor model, is novel to the literature, and generalizes the...

The Paper uses a large data set, consisting of 447 monthly macroeconomic time series concerning the main countries of the Euro area to simulate out-of-sample predictions of the Euro area industrial production and the harmonized inflation index and to evaluate the role of financial variables in...