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This paper explores the usefulness of bagging methods in forecasting economic time series from linear multiple regression models. We focus on the widely studied question of whether the inclusion of indicators of real economic activity lowers the prediction mean-squared error of forecast models...
Persistent link: https://www.econbiz.de/10005661494
In this paper, we evaluate the role of using consumer price index (CPI) disaggregated data to improve the accuracy of inflation forecasts. Our forecasting approach is based on extracting the factors from the subcomponents of the CPI at the highest degree of disaggregation. The data set contains...
Persistent link: https://www.econbiz.de/10010573296
In this paper we apply a dynamic factor model to generate out of sample forecasts for the inflation rate in Mexico. We evaluate the role of using a wide range of macroeconomic variables with particular interest on the importance of using CPI disaggregated data to forecast inflation. Our data set...
Persistent link: https://www.econbiz.de/10010322633
In this paper we apply a dynamic factor model to generate out of sample forecasts for the inflation rate in Mexico. We evaluate the role of using a wide range of macroeconomic variables with particular interest on the importance of using CPI disaggregated data to forecast inflation. Our data set...
Persistent link: https://www.econbiz.de/10008494216
The concept of causality introduced by Wiener (1956) and Granger (1969) is defined in terms of predictability one … causality measures typically involve complex functions of model parameters in VAR and VARMA models, we propose a simple method …
Persistent link: https://www.econbiz.de/10005111024
We show that the adaptive Lasso (aLasso) and the adaptive group Lasso (agLasso) are oracle efficient in stationary vector autoregressions where the number of parameters per equation is smaller than the number of observations. In particular, this means that the parameters are estimated...
Persistent link: https://www.econbiz.de/10010851261
In this paper we apply factor models proposed by Stock and Watson [18] and VAR and ARIMA models to generate 12-month … accuracy can be further improved by combining the information contained in factor and VAR models for some indices. With respect …
Persistent link: https://www.econbiz.de/10013370008
In this paper we apply factor models proposed by Stock and Watson [18] and VAR and ARIMA models to generate 12-month … accuracy can be further improved by combining the information contained in factor and VAR models for some indices. With respect …
Persistent link: https://www.econbiz.de/10005802644
To forecast an aggregate, we propose adding disaggregate variables, instead of combining forecasts of those disaggregates or forecasting by a univariate aggregate model. New analytical results show the effects of changing coefficients, mis-specification, estimation uncertainty and...
Persistent link: https://www.econbiz.de/10011605201
no predictability. In this paper, we expand the scope of inflation predictability and explore whether macroeconomic …, housing starts, and the term spread provide significant out-of-sample predictability for the distribution of core inflation … research shows that macroeconomic indicators do not add much to the predictability of the future mean inflation. This paper …
Persistent link: https://www.econbiz.de/10005836192