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Gilberto Oliveira Boaretto

Personal Details

First Name:Gilberto
Middle Name:Oliveira
Last Name:Boaretto
Suffix:
RePEc Short-ID:pbo1269
[This author has chosen not to make the email address public]
https://sites.google.com/view/gilbertoboaretto/

Affiliation

Instituto de Economia
Universidade Federal de Uberlândia

Uberlândia, Brazil
http://www.ie.ufu.br/
RePEc:edi:ieufubr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Gilberto Boaretto & Marcelo C. Medeiros, 2023. "Forecasting inflation using disaggregates and machine learning," Papers 2308.11173, arXiv.org.

Articles

  1. Gilberto Oliveira Boaretto & Cleomar Gomes Da Silva, 2019. "Services inflation dynamics and persistence puzzle in Brazil: a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 51(13), pages 1450-1462, March.
  2. Cleomar Gomes da Silva & Gilberto O. Boaretto, 2018. "Inflation and Relative Price Variability in Brazil: A Time-Varying Parameter Approach," Economics Bulletin, AccessEcon, vol. 38(4), pages 1947-1956.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Gilberto Boaretto & Marcelo C. Medeiros, 2023. "Forecasting inflation using disaggregates and machine learning," Papers 2308.11173, arXiv.org.

    Cited by:

    1. Nason, Guy P. & Palasciano, Henry Antonio, 2026. "Forecasting UK consumer price inflation with RaGNAR: Random generalised network autoregressive processes," International Journal of Forecasting, Elsevier, vol. 42(1), pages 181-202.
    2. Carlos Segura-Rodriguez, 2025. "Inflation Forecasting in Costa Rica: The Contribution of Exogenous Variables in Item-Level Disaggregated Models," Documentos de Trabajo 2509, Banco Central de Costa Rica.
    3. Pijush Kanti Das & Prabir Kumar Das, 2025. "Artificial Intelligence and Inflation Forecasting: A Contemporary Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 14(1), pages 133-164, June.
    4. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.

Articles

  1. Gilberto Oliveira Boaretto & Cleomar Gomes Da Silva, 2019. "Services inflation dynamics and persistence puzzle in Brazil: a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 51(13), pages 1450-1462, March.

    Cited by:

    1. Helder Ferreira de Mendonça & Natália Ferreira Trigo, 2024. "What is the effect of imported inflation and central bank credibility on the poor and rich?," Applied Economics, Taylor & Francis Journals, vol. 56(21), pages 2520-2543, May.
    2. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BAN: Banking (1) 2023-09-25. Author is listed
  2. NEP-BIG: Big Data (1) 2023-09-25. Author is listed
  3. NEP-CMP: Computational Economics (1) 2023-09-25. Author is listed
  4. NEP-FOR: Forecasting (1) 2023-09-25. Author is listed
  5. NEP-MON: Monetary Economics (1) 2023-09-25. Author is listed

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