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"This paper develops a new approach to change-point modeling that allows for an unknown number of change points in the observed sample. Our model assumes that regime durations have a Poisson distribution. The model approximately nests the two most common approaches: the time-varying parameter...
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pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE …
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This paper revisits inflation forecasting using reduced-form Phillips curve forecasts, that is, inflation forecasts … evidence of autonomous variance breaks and inflation gap persistence. Through a real-time out-of-sample forecasting exercise … quarterly inflation relative to an extended range of forecasting models that are typically used in the literature. …
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partial least squares (PLS) regression to extract dynamic factors from the data set. Our forecasting analysis considers ten …
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Using the panel component of the Michigan Survey of Consumers, we show that individuals, in particular women and ethnic minorities, are highly heterogeneous in their expectations of inflation. We estimate a model of inflation expectations based on learning from experience that also allows for...
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Remarks at the University of Chicago Booth School of Business Annual U.S. Monetary Policy Forum, New York City.
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