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This paper deals with the estimation of the output gap. We use uni- and bivariate unobserved components models in order … ifo business assessment variable as an indicator for the cycle the estimation of the output gap is much more precise and …
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constant over time and the number of working days contribute significantly to the short-term variability of output. …
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This paper considers a non-stationary dynamic factor model for large datasets to disentangle long-run from short-run co-movements. We first propose a new Quasi Maximum Likelihood estimator of the model based on the Kalman Smoother and the Expectation Maximisation algorithm. The asymptotic...
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We propose a simple modification of the time series filter by Hamilton (2018b) that yields reliable and economically … meaningful real-time output gap estimates. The original filter relies on 8-quarter ahead forecasts errors of an autoregression … favorable real-time properties of the Hamilton filter, but leads to a much better coverage of typical business cycle frequencies …
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