A Monthly Indicator of Brazilian GDP

UCR Department of Economics Working Paper

32 Pages Posted: 23 Jan 2001

See all articles by Marcelle Chauvet

Marcelle Chauvet

University of California Riverside

Date Written: September 2000

Abstract

This paper constructs an indicator of Brazilian GDP at the monthly frequency. The peculiar instability and abrupt changes of regimes in the dynamic behavior of the Brazilian business cycle were explicitly modeled within nonlinear frameworks. In particular, a Markov switching dynamic factor model was used to combine several macroeconomic variables that display simultaneous comovements with aggregate economic activity. The model generates as output a monthly indicator of the Brazilian GDP and real time probabilities of the current phase of the Brazilian business cycle. The monthly indicator shows a remarkable historical conformity with cyclical movements of GDP. In addition, the estimated filtered probabilities predict all recessions in sample and out-of-sample. The ability of the indicator in linear forecasting growth rates of GDP is also examined. The estimated indicator displays a better in-sample and out-of-sample predictive performance in forecasting growth rates of real GDP, compared to a linear autoregressive model for GDP. These results suggest that the estimated monthly indicator can be used to forecast GDP and to monitor the state of the Brazilian economy in real time.

Keywords: Business Cycle, Dynamic Factor, Markov Switching, Composite Indicators, Kalman filter, Filtered Probabilities, Forecast.

JEL Classification: C32, C50, E32

Suggested Citation

Chauvet, Marcelle, A Monthly Indicator of Brazilian GDP (September 2000). UCR Department of Economics Working Paper. Available at SSRN: https://ssrn.com/abstract=253713 or http://dx.doi.org/10.2139/ssrn.253713

Marcelle Chauvet (Contact Author)

University of California Riverside ( email )

900 University Avenue
4136 Sproul Hall
Riverside, CA 92521
United States
(951) 827-1587 (Phone)

HOME PAGE: http://https://sites.google.com/site/marcellechauvet/

Register to save articles to
your library

Register

Paper statistics

Downloads
786
Abstract Views
5,091
rank
30,784
PlumX Metrics