Economics at your fingertips  

Modelos de Índice de Difusão para prever a taxa de crescimento do PIB agrícola brasileiro [Diffusion index models to forecast GDP growth rate Brazilian agriculture]

Roberto Ferreira (), José Nilo de Oliveira Júnior and Ivan Castelar
Additional contact information
José Nilo de Oliveira Júnior: UFPA
Ivan Castelar: UFC

Nova Economia, 2012, vol. 22, issue 1, 117-139

Abstract: This article uses linear and nonlinear diffusion index models to forecast, one step ahead, the quarterly growth rate of Brazilian Agricultural GDP. These models are composed by common factor which allow a significant reduction in the number of the original explanatory variables. After comparing the forecasts of these two models between themselves and with the ones generated by an AR model, used as benchmark, one comes to the conclusion that among the diffusion index models, the nonlinear model with a threshold effect presents a small improvement, in terms of predictive efficiency, in relation to the linear and the AR models.

Keywords: agricultural GDP; Diffusion Index Model; forecast; nonlinearities (search for similar items in EconPapers)
JEL-codes: C53 Q19 (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) ... g=en&nrm=iso&tlng=pt (application/pdf) ... g=en&nrm=iso&tlng=pt (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from
Av. Antonio Carlos, 6627 - Predio da FACE Belo Horizonte, 31270-901 Brazil
http://revistas.face ... dex.php/novaeconomia

Access Statistics for this article

Nova Economia is currently edited by Gustavo de Britto Rocha

More articles in Nova Economia from Economics Department, Universidade Federal de Minas Gerais (Brazil) Av. Antonio Carlos, 6627 - Predio da FACE Belo Horizonte, 31270-901 Brazil. Contact information at EDIRC.
Bibliographic data for series maintained by Lucas Resende de Carvalho ().

Page updated 2020-11-07
Handle: RePEc:nov:artigo:v:22:y:2012:i:1:p:117-139