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Using a model of deterministic structural change, we revisit several topics in inflation dynamics explored previously using stochastic, time-varying parameter models. We document significant reductions in inflation persistence and predictability. We estimate that changes in the volatility of...
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Over time, economic statistics are refined. This implies that data measuring recent economic events are typically less reliable than older data. Such time variation in measurement error affects optimal forecasts. Measurement error, and its time variation, are of course unobserved. Our...
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We consider time series forecasting in the presence of ongoing structural change where both the time series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially...
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