Showing 1 - 10 of 14,649
This paper investigates core inflation defined as the best predictor of US inflation. I compare forecasts obtained using the weighted median consumer price index inflation rate, a trimmed mean consumer price index inflation rate, the consumer price index inflation rate and the consumer price...
Persistent link: https://www.econbiz.de/10014073637
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This paper examines the effect that biofuels production has had on commodity and global food prices. The innovative contribution of this paper is the interactive spreadsheet that allows the reader to choose the assumptions behind the estimates. By allowing the reader to choose the country, time...
Persistent link: https://www.econbiz.de/10014209350
This paper examines, for the Brazilian case, if break-even inflation rates (BEIR) extracted from fixed income securities is an unbiased estimator of consumer inflation, measured by the CPI. Our estimates suggest that BEIRs are informative about future inflation, especially for the maturity of...
Persistent link: https://www.econbiz.de/10013079448
We present a hierarchical architecture based on recurrent neural networks for predicting disaggregated inflation components of the Consumer Price Index (CPI). While the majority of existing research is focused on predicting headline inflation, many economic and financial institutions are...
Persistent link: https://www.econbiz.de/10014345532
Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It … can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature …: many studies focus solely on measuring accuracy. Methods for assessing bias in single series are relatively well known and …
Persistent link: https://www.econbiz.de/10013314570
High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...
Persistent link: https://www.econbiz.de/10011999119
This paper designs and implements a Baynesian dynamic latent factor model for a vector of data describing the Iowa economy. Posterior distributions of parameters and the latentfactor are analyzed by Markov Chain Monte Carlo methods, and coincident and leading indicators are given by posterior...
Persistent link: https://www.econbiz.de/10014103328
A common practice in studies using inflation forecasts is to approximate fixed-horizon forecasts with fixed-event ones. Here we show that this may be problematic. In a panel of US inflation forecast data that allows us to compare the two, the approximation results in a mean absolute...
Persistent link: https://www.econbiz.de/10012928064
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