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We show how to improve the accuracy of real-time forecasts from models that include autoregressive terms by estimating the models on "lightly-revised" data instead of using data from the latest-available vintage. Forecast accuracy is improved by reorganizing the data vintages employed in the...
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Business cycles and economic growth have long been studied separately, hindering understanding of the nature and causes of economic fluctuations and growth. Here, we present an economic model that incorporates both deterministic trends and persistent fluctuations, derived from a general economic...
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This paper analyzes the evolution of the Lebanese GDP growth rate over the period 1970- 2019 by estimating two kinds of switching models: The Smooth Transition Autoregressive (STAR) model and the model of the Markov process. These models show, on the one hand, asymmetries in the evolution of GDP...
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