Vicente da Gama Machado

Personal Details

First Name:	Vicente
Middle Name:	da Gama
Last Name:	Machado
Suffix:
RePEc Short-ID:	pma2074
	[This author has chosen not to make the email address public]

Affiliation

Banco Central do Brasil

Brasília, Brazil
http://www.bcb.gov.br/
RePEc:edi:bcbgvbr (more details at EDIRC)

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. Vicente da Gama Machado & Raquel Nadal & Fernando Ryu Ramos Kawaoka, 2020. "A Data-Rich Measure of Underlying Inflation for Brazil," Working Papers Series 516, Central Bank of Brazil, Research Department.

   Cited by:

   1. Carlomagno, Guillermo & Fornero, Jorge & Sansone, Andrés, 2023. "A proposal for constructing and evaluating core inflation measures," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).

2. Vicente da Gama Machado & Marcelo Savino Portugal, 2014. "Phillips curve in Brazil: an unobserved components approach," Working Papers Series 354, Central Bank of Brazil, Research Department.

   Cited by:

   1. Andreza Aparecida Palma & Marcelo Savino Portugal, 2014. "Preferences Of The Central Bank Of Brazil Under The Inflation Targeting Regime: Estimation Using A Dsge Model For A Small Open Economy," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 055, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
      • Palma, Andreza Aparecida & Portugal, Marcelo Savino, 2014. "Preferences of the Central Bank of Brazil under the inflation targeting regime: Estimation using a DSGE model for a small open economy," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 824-839.
   2. Alexius, Annika & Lundholm, Michael & Nielsen, Linnea, 2020. "Is the Phillips curve dead? International evidence," Research Papers in Economics 2020:1, Stockholm University, Department of Economics.
   3. Edilean Kleber da Silva Bejarano Aragón, 2021. "Specification errors, nonlinearities, and structural breaks in the Central Bank of Brazil’s reaction function," Empirical Economics, Springer, vol. 60(3), pages 1221-1243, March.
   4. 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.

3. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
   • Machado, Vicente da Gama & Portugal, Marcelo Savino, 2014. "Measuring inflation persistence in Brazil using a multivariate model," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(2), June.

   Cited by:

   1. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
   2. Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & Francisco Marcos Rodrigues Figueiredo, 2015. "Local Unit Root and Inflationary Inertia in Brazil," Working Papers Series 406, Central Bank of Brazil, Research Department.
   3. Alberto Ronchi Neto & Osvaldo Candido, 2020. "Measuring the neutral real interest rate in Brazil: a semi-structural open economy framework," Empirical Economics, Springer, vol. 58(2), pages 651-667, February.
   4. Araujo, Gustavo Silva & Gaglianone, Wagner Piazza, 2023. "Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(2).
      • Gustavo Silva Araujo & Wagner Piazza Gaglianone, 2022. "Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models," Working Papers Series 561, Central Bank of Brazil, Research Department.

4. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.

   Cited by:

   1. Waldyr Areosa & Marta Areosa, 2012. "Information (in) Chains: information transmission through production chains," Working Papers Series 286, Central Bank of Brazil, Research Department.
   2. Angelo Marsiglia Fasolo, 2012. "A Note on Particle Filters Applied to DSGE Models," Working Papers Series 281, Central Bank of Brazil, Research Department.
   3. Bruno Martins, 2012. "Local Market Structure and Bank Competition: evidence from the Brazilian auto loan market," Working Papers Series 299, Central Bank of Brazil, Research Department.
   4. Dizioli, Allan & Wang, Hou, 2024. "How do adaptive learning expectations rationalize stronger monetary policy response in Brazil?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(1).

Articles

1. Machado, Vicente da Gama & Portugal, Marcelo Savino, 2014. "Measuring inflation persistence in Brazil using a multivariate model," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(2), June.
   • Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
   See citations under working paper version above.
2. Machado, Vicente da Gama, 2013. "Monetary policy rules, asset prices and adaptive learning," Journal of Financial Stability, Elsevier, vol. 9(3), pages 251-258.

   Cited by:

   1. Eurilton Araújo, 2014. "Determinacy and Learnability of Equilibrium in a Small Open Economy with Sticky Wages and Prices," Working Papers Series 376, Central Bank of Brazil, Research Department.
      • Araújo, Eurilton, 2016. "Determinacy and learnability of equilibrium in a small-open economy with sticky wages and prices," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 16-32.
   2. Marine Charlotte André & Meixing Dai, 2016. "Learning, robust monetray policy and the merit of precaution," Working Papers of BETA 2016-54, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
      • Marine Charlotte André & Meixing Dai, 2018. "Learning, robust monetary policy and the merit of precaution," Post-Print hal-03030047, HAL.
      • André Marine Charlotte & Dai Meixing, 2018. "Learning, robust monetary policy and the merit of precaution," The B.E. Journal of Macroeconomics, De Gruyter, vol. 18(2), pages 1-20, June.
   3. Marine Charlotte André & Meixing Dai, 2015. "Central bank accountability under adaptive learning," Working Papers of BETA 2015-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
   4. Yu-chin Chen & Pisut Kulthanavit, 2016. "Monetary Policy with Imperfect Knowledge in a Small Open Economy," PIER Discussion Papers 28, Puey Ungphakorn Institute for Economic Research.
   5. Marine Charlotte André & Meixing Dai, 2017. "Learning, optimal monetary delegation and stock prices dynamics," Working Papers of BETA 2017-37, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
   6. André Marine Charlotte & Dai Meixing, 2020. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers 2020-12, Banco de México.
      • Marine Charlotte André & Meixing Dai, 2018. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers of BETA 2018-45, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers 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-MAC: Macroeconomics (4) 2012-05-15 2013-12-20 2014-09-05 2016-07-02
2. NEP-MON: Monetary Economics (4) 2012-05-15 2013-12-20 2020-02-17 2024-11-04
3. NEP-CBA: Central Banking (3) 2012-05-15 2013-12-20 2020-02-17
4. NEP-LAM: Central and South America (2) 2013-12-20 2014-09-05
5. NEP-FOR: Forecasting (1) 2020-02-17

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