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series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and … forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive … of widely used macroeconomic series data with one or two sufficient reductions delivering similar forecasting performance …
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No, not really, since spectral estimators suffer from small sample and misspecification biases just as VARs do. Spectral estimators are no panacea for implementing long-run restrictions. In addition, when combining VAR coefficients with non-parametric estimates of the spectral density, care...
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Small-scale VARs are widely used in macroeconomics for forecasting U.S. output, prices, and interest rates. However …, recent work suggests these models may exhibit instabilities. As such, a variety of estimation or forecasting methods might be … effectiveness of such methods in real time forecasting. We use forecasts from univariate time series models, the Survey of …
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