Showing 1 - 10 of 463
This Paper proposes a new forecasting method that exploits information from a large panel of time series. The method is …
Persistent link: https://www.econbiz.de/10005661541
index and to evaluate the role of financial variables in forecasting. We considered two models which allow forecasting based … univariate methods for forecasting inflation at one, three, six, and twelve months and industrial production at one and three … months. We find that financial variables do help forecasting inflation, but do not help forecasting industrial production. …
Persistent link: https://www.econbiz.de/10005789173
latter's specification in differences. In this paper we examine the forecasting performance of the FECM by means of an … generally offers a higher forecasting precision and in general marks a very useful step forward for forecasting with large …
Persistent link: https://www.econbiz.de/10008468646
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”...
Persistent link: https://www.econbiz.de/10005067604
This paper introduces a new indicator of core inflation for New Zealand, estimated using a dynamic factor model and disaggregate consumer price data. Using disaggregate consumer price data we can directly compare the predictive performance of our core indicator with a wide range of other ‘core...
Persistent link: https://www.econbiz.de/10005656226
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...
Persistent link: https://www.econbiz.de/10005667125
This paper proposes a new way to compute a coincident and a leading index of economic activity. The method provides a unified approach for the selection of the coincident and the leading variables, for averaging them into coincident and leading indexes and for the identification of turning...
Persistent link: https://www.econbiz.de/10005136502
Starting from the dynamic factor model for non-stationary data we derive the factor-augmented error correction model (FECM) and, by generalizing the Granger representation theorem, its moving-average representation. The latter is used for the identification of structural shocks and their...
Persistent link: https://www.econbiz.de/10011083358
Using a dynamic factor model that allows for changes in both the long- run growth rate of output and the volatility of business cycles, we document a significant decline in long-run output growth in the United States. Our evidence supports the view that this slowdown started prior to the Great...
Persistent link: https://www.econbiz.de/10011145426
This paper brings together several important strands of the econometrics literature: error-correction, cointegration and dynamic factor models. It introduces the Factor-augmented Error Correction Model (FECM), where the factors estimated from a large set of variables in levels are jointly...
Persistent link: https://www.econbiz.de/10005136642