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The oil price-inflation relationship has been at the center of attention among economists and policy makers, especially after 1970’s oil shocks that resulted to a significant increase in the inflation rate in number of countries around the world. In this study, we aim to investigate the...
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Utilizing a machine learning technique known as random forests, we study whether regional output growth uncertainty … helps to improve the accuracy of forecasts of regional output growth for 12 regions of the UK using monthly data for the … period from 1970 to 2020. We use a stochastic volatility model to measure regional output growth uncertainty. We document the …
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This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary …-of-sample forecasts of recession probabilities which are more accurate than those derived from the MS-VAR and MS-AR models. The results …
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This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary …-of-sample forecasts of recession probabilities which are more accurate than those derived from the MS-VAR and MS-AR models. The results …
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