Typically, when forecasting inflation rates, there are a variety of individual models and a combination of several of these models. We implement a Bayesian shrinkage combination methodology to include information that is not captured by the individual mo
This paper models an inflation density forecast framework that closely resembles policymakers' actua...
Recent empirical work has considered the prediction of inflation by combining the information in a l...
Three methodologies of estimation of models with many predictors are implemented to forecast Colombi...
Typically, central banks use a variety of individual models (or a combination of models) when foreca...
Typically, when forecasting inflation rates, there are a variety of individual models and a combinat...
Abstract There are many types of econometric models used in predicting the inflation rate, but in th...
There are many types of econometric models used in predicting the inflation rate, but in this study ...
Forecasting of inflation has become crucial for both policy makers and private agents who try to und...
In this paper we applied the regression approach and Bayesian inference to obtain more accurate fore...
An application of Bayesian Model Averaging, BMA, is implemented to construct combined forecasts for ...
This paper investigates whether transforming the Consumer Price Index with a class of power transfor...
This study compares several Bayesian vector autoregressive (VAR) models for forecasting price inflat...
In this study, we investigate forecasting performance of various univariate and multivariate models ...
Recent empirical work has considered the prediction of inflation by combining the information in a l...
This paper combines multivariate density forecasts of output growth, inflation and interest rates fr...
This paper models an inflation density forecast framework that closely resembles policymakers' actua...
Recent empirical work has considered the prediction of inflation by combining the information in a l...
Three methodologies of estimation of models with many predictors are implemented to forecast Colombi...
Typically, central banks use a variety of individual models (or a combination of models) when foreca...
Typically, when forecasting inflation rates, there are a variety of individual models and a combinat...
Abstract There are many types of econometric models used in predicting the inflation rate, but in th...
There are many types of econometric models used in predicting the inflation rate, but in this study ...
Forecasting of inflation has become crucial for both policy makers and private agents who try to und...
In this paper we applied the regression approach and Bayesian inference to obtain more accurate fore...
An application of Bayesian Model Averaging, BMA, is implemented to construct combined forecasts for ...
This paper investigates whether transforming the Consumer Price Index with a class of power transfor...
This study compares several Bayesian vector autoregressive (VAR) models for forecasting price inflat...
In this study, we investigate forecasting performance of various univariate and multivariate models ...
Recent empirical work has considered the prediction of inflation by combining the information in a l...
This paper combines multivariate density forecasts of output growth, inflation and interest rates fr...
This paper models an inflation density forecast framework that closely resembles policymakers' actua...
Recent empirical work has considered the prediction of inflation by combining the information in a l...
Three methodologies of estimation of models with many predictors are implemented to forecast Colombi...