In 2016 the Central Bank of Argentina began to announce inflation targets. In this context, providing authorities with … 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 …

at long horizons. This paper develops easily implemented numerical simulation algorithms for analyzing stationary and …

There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such … as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we … incorporate Google search data into a Bridge Equation Model, a version of which usually belongs to the suite of forecasting models …

series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and … forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive … of widely used macroeconomic series data with one or two sufficient reductions delivering similar forecasting performance …

general enough to apply to impulse responses estimated by VARs, local projections, and simulation methods. We show that our …

estimated by VARs, local projections, and simulation methods. We show that the use of our criteria significantly affects …

This letter reveals using simulation studies that regularization parameter selection via cross-validation (CV) in …

general enough to apply to impulse responses estimated by VARs, local projections, and simulation methods. We show that our …

This paper introduces a novel simulation-based filtering method for general state space models. It allows for the …