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BIBTEX RIS

Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods

2019; Taylor & Francis; Volume: 39; Issue: 1 Linguagem: Inglês

10.1080/07350015.2019.1637745

ISSN

1537-2707

Autores

Marcelo C. Medeiros, Gabriel Vasconcelos, Álvaro Veiga, Eduardo Zilberman,

Tópico(s)

Forecasting Techniques and Applications

Resumo

Marcelo C. Medeirosa , Gabriel F. R. Vasconcelosb, Álvaro Veigac & Eduardo Zilbermanda Department of Economics, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro 22451-900, Brazil ()b Department of Economics, University of California, Irvine, 3201 Social Sciences Plaza B, Irvine, CA 92617 ()c Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro 22451-900, Brazil ()d Central Bank of Chile and Department of Economics, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Agustinas 1180, Santiago 867, Chile ()

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