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desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which includes autoregressive … can improve the forecast ability of the univariate autoregressive benchmark’s model of inflation. The Giacomini-White test … indicates that a BVAR performs better than the benchmark in all forecast horizons. Statistical differences between the two BVAR …
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corrections to reach the desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which … show that the BVAR model can improve the forecast ability of the univariate autoregressive benchmark's model of inflation …. The Giacomini-White test indicates that a BVAR performs better than the benchmark in all forecast horizons. Statistical …
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general. In this paper, we used the Diebold-Li interpretation to the Nelson Siegel model in order to fit and forecast the … and efficiently estimated using the Kalman filter. The results obtained for the fit and for the forecast showed that the … Kalman filter is the most suitable method for the estimation of the model, generating better forecast for all maturities when …
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This chapter summarizes recent literature on asymptotic inference about forecasts. Both analytical and simulation based methods are discussed. The emphasis is on techniques applicable when the number of competing models is small. Techniques applicable when a large number of models is compared to...
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