Journal of money credit and banking · 2007 · 1.7K citations · 23 references
Social SciencesBusiness EconomicsEconomicsEconometricsForecastingMonetary EconomicsBusiness CyclesEconomic ForecastingForecasting MethodsMultivariate ForecastingTime Series EconometricsTime Series ForecastingAutoregressive Integrated Moving AverageAutoregressive Integrated Moving Average ForecastingDynamic Forecasting ModelsInflation ForecastingInflation VolatilityStochastic Volatility ModelsTrend ForecastingUnivariate Forecasting
We examine whether the U.S. rate of price inflation has become harder to forecast and, to the extent that it has, what changes in the inflation process have made it so. The main finding is that the univariate inflation process is well described by an unobserved component trend‐cycle model with stochastic volatility or, equivalently, an integrated moving average process with time‐varying parameters. This model explains a variety of recent univariate inflation forecasting puzzles and begins to explain some multivariate inflation forecasting puzzles as well.
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James H. Stock, Mark W. Watson · Journal of Monetary Economics · 1999 · 1.3K citations
Are Phillips Curves Useful for Forecasting Inflation?
Andrew Atkeson, Lee E. Ohanian · Quarterly Review · 2001 · 736 citations · Full text