This paper provides an empirical analysis of the business cycle regularities of the Uruguayan economy from 1975 to 1994, using quarterly macroeconomic data. The method of estimation of the cyclical components is based on the application of the Hodrick-Prescott filter to the unobserved...

Spanish Abstract: En el presente trabajo se lleva a un contexto regional la metodología de Stock y Watson (1991), usualmente aplicada en la construcción de indicadores de actividad económicas a nivel macroeconómico. A partir de siete series históricas claves del departamento del Valle del...

Spanish Abstract: Mediante un modelo BVAR y empleando los datos del Indicador Mensual de Actividad Económica (IMAE), se estima el efecto de distintos choques monetarios y del sector externo sobre el crecimiento cíclico del departamento del Valle del Cauca, y se compara con el efecto que tienen...

English Abstract: This paper first constructs a regional-scale indicator that seeks to gauge the volume of measures implemented at each point in time to contain the pandemic. Using textual analysis techniques, we analyse the information in press news. At the start of the pandemic, measures were...

En los bancos centrales se suele utilizar modelos no estructurales y semi-estructurales para predecir diversas variables, especialmente la inflación, cuyo control es su principal objetivo. El Sistema de Predicción Desagregada (SPD) es un conjunto de modelos SparseVAR no estructurales usados...

This document analyzes inflation, exchange rate, interest rate, and GDP growth forecasts from the monthly Survey of Specialists in Economics from the Private Sector, maintained by Banco de M'exico. The study concentrates on the mean across forecasters for the period from January 1995 to April...

The hierarchical structure of the Colombian Consumer Price Index (CPI) makes possible to calculate inflation as a linear combination of its subcomponents. We use SARIMA models to forecast each component of CPI and construct an forecast of inflation using a lineal combination of the forecasts of...

In this paper I present a real-time estimation of the evolution of the Investment, constructed from a broad set of high frequency economic indicators: known in the literature as Nowcasting. The Nowcast exercise was developed considering three groups of monthly indicators throughout dynamic...

We forecast economic activity in Argentina on a quarterly real-time basis using dynamic factors models (DFM) (Blanco et al. 2018) and evaluate their forecasting performance during the COVID19 pandemic of 2020. We compare the results of forecasts based on a pre-pandemic estimation of the...