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We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified …-validation procedure. In a set of Monte Carlo experiments we reveal that the estimation method can significantly improve the forecasting … accuracy of autoregressive models. In an empirical study concerned with forecasting the U.S. Industrial Production, we show …
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This paper discusses identification, specification, estimation and forecasting for a general class of periodic … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …
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We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...
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