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Andreza Aparecida Palma

Personal Details

First Name:Andreza
Middle Name:Aparecida
Last Name:Palma
Suffix:
RePEc Short-ID:ppa1592
[This author has chosen not to make the email address public]

Affiliation

Departamento de Economia
Universidade Federal de São Carlos

Sorocaba, Brazil
http://deco.sorocaba.ufscar.br/
RePEc:edi:defscbr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Diego Ferreira & Andreza Aparecida Palma, 2018. "Inflation And Inflation Uncertainty In Latin America: A Time-Varying Stochastic Volatility In Mean Approach," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 125, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  2. Antimiani, A. & Costantini, V. & Markandya, A. & Martini, C. & Palma, A. & Tommasino, M.C., 2014. "Green Growth and Sustainability: Analysing Trade-Offs in Climate Change Policy Options," Conference papers 332550, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  3. 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].

Articles

  1. Alves, Renan Santos & Palma, Andreza A., 2024. "The effectiveness of fiscal policy in Brazil through the MIDAS Lens," Journal of Policy Modeling, Elsevier, vol. 46(1), pages 113-128.
  2. Oliveira, Eleonora de & Palma, Andreza A. & Portugal, Marcelo S., 2024. "A Markov-Switching DSGE model for measuring the output gap in Brazil," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(1).
  3. Patrick da Silva & Flávio Leonel de Carvalho & Andreza Aparecida Palma, 2022. "Capital Structure and Share Liquidity in Latin America: A Panel Data Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(4), pages 1-28, April.
  4. Diego Ferreira & Andreza A. Palma, 2022. "On the subprime crisis and the Latin American financial markets: A regime switching skew‐normal approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3300-3314, July.
  5. Diego Ferreira & Andreza Aparecida Palma & Marcos Minoru Hasegawa, 2020. "Time-varying monetary policy reaction function under asymmetric preferences: revisiting the Brazilian inflation targeting experience," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(4), pages 893-911, September.
  6. Andreza Aparecida Palma, 2017. "Política monetária e taxa de câmbio em uma pequena economia aberta: uma análise empírica para o Brasil [Monetary policy and exchange rate in a small open economy: an empirical analysis for Brazil]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 27(2), pages 119-155, May-Augus.
  7. Diego Ferreira & Andreza Aparecida Palma, 2017. "Assessing the effect of inflation uncertainty on inflation: further evidences for Latin America," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(4), pages 506-517, September.
  8. Andreza A Palma, 2016. "Natural interest rate in Brazil: further evidence frThe main objective of this study is to estimate the natural interest rate for Brazil using a parsimonious AR-trend-bound model proposed by Chan, Koo," Economics Bulletin, AccessEcon, vol. 36(3), pages 1306-1314.
  9. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.
  10. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.
  11. 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.
  12. Mastrullo, R. & Mauro, A.W. & Menna, L. & Palma, A. & Vanoli, G.P., 2014. "Transient model of a vertical freezer with door openings and defrost effects," Applied Energy, Elsevier, vol. 121(C), pages 38-50.
  13. Palma, Andreza Aparecida & Portugal, Marcelo Savino, 2011. "Preferences of the Central Bank of Brasil under the inflation targeting regime: commitment vs. discretion," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(4), November.

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. 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].

    Cited by:

    1. Patra, Michael Debabrata & Khundrakpam, Jeevan Kumar & Gangadaran, Sivaramakrishnan, 2017. "The quest for optimal monetary policy rules in India," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 349-370.
    2. Helder Ferreira de Mendonça & João Pedro Neves Maia, 2022. "Interest rate expectations based on Taylor rule versus central bank’s survey: which performs better in a large emerging economy?," Applied Economics, Taylor & Francis Journals, vol. 54(39), pages 4532-4544, August.
    3. Pierre-Richard Agénor & Koray Alper & Luiz Pereira da Silva, 2015. "External Shocks, Financial Volatility and Reserve Requirements in an Open Economy," Working Papers Series 396, Central Bank of Brazil, Research Department.
    4. Agénor, Pierre-Richard & Alper, Koray & Pereira da Silva, Luiz A., 2014. "Sudden floods, macroprudential regulation and stability in an open economy," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 68-100.
    5. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    6. Pierre-Richard Agénor & Timothy Jackson & Luiz Awazu Pereira da Silva, 2020. "Foreign exchange intervention and financial stability," BIS Working Papers 889, Bank for International Settlements.
    7. Abdelli Soulaima, 2014. "A Welfare Based Approach for choosing the Inflation Targeting and the Exchange Regime in Tunisia," Journal of Economics and Behavioral Studies, AMH International, vol. 6(12), pages 919-932.
    8. 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.
    9. Phuong V. Nguyen, 2020. "The Vietnamese business cycle in an estimated small open economy New Keynesian DSGE model," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(5), pages 1035-1063, October.
    10. McKnight, Stephen & Mihailov, Alexander & Pompa Rangel, Antonio, 2020. "What do Latin American inflation targeters care about? A comparative Bayesian estimation of central bank preferences," Journal of Macroeconomics, Elsevier, vol. 63(C).
    11. Fernandes, Leonardo H.S. & Araújo, Fernando H.A. & Silva, Igor E.M. & Leite, Urbanno P.S. & de Lima, Neílson F. & Stosic, Tatijana & Ferreira, Tiago A.E., 2020. "Multifractal behavior in the dynamics of Brazilian inflation indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    12. Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019. "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, vol. 16(4), pages 649-678, October.
    13. Van Nguyen, Phuong, 2020. "The Vietnamese business cycle in an estimated small open economy New Keynesian DSGE model," Dynare Working Papers 56, CEPREMAP.
    14. Gómez, Marcos & Medina, Juan Pablo & Valenzuela, Gonzalo, 2019. "Unveiling the objectives of central banks: Tales of four Latin American countries," Economic Modelling, Elsevier, vol. 76(C), pages 81-100.
    15. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
    16. Ashima Goyal & Abhishek Kumar, 2017. "A DSGE model-based analysis of the Indian slowdown," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2017-003, Indira Gandhi Institute of Development Research, Mumbai, India.
    17. Caldas Montes, Gabriel & Ferrari Ferreira, Caio, 2019. "Effect of monetary policy credibility on the fear of floating: Evidence from Brazil," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 981-1004.
    18. Ma, Yong & Lv, Lin, 2022. "Money, debt, and the effects of fiscal stimulus," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 152-178.
    19. Gabriela Bezerra De Medeiros & Marcelo Savino Portugal & Edilean Kleber Da Silva Bejarano Aragon, 2016. "Endogeneity And Nonlinearities In Central Bank Of Brazil’S Reaction Functions: An Inverse Quantile Regression Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.

Articles

  1. Diego Ferreira & Andreza Aparecida Palma, 2017. "Assessing the effect of inflation uncertainty on inflation: further evidences for Latin America," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(4), pages 506-517, September.

    Cited by:

    1. Rifai Afin, 2023. "Interlinka Terlinkage Of M Ge Of Macroeconomic Uncer Croeconomic Uncertainty And Macroeconomic Performance: Evidence From Asean-5 Countries Panel Var," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(1), pages 39-68, March.

  2. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.

    Cited by:

    1. Costantini, Valeria & Sforna, Giorgia, 2020. "A dynamic CGE model for jointly accounting ageing population, automation and environmental tax reform. European Union as a case study," Economic Modelling, Elsevier, vol. 87(C), pages 280-306.
    2. Costantini, Valeria & Sforna, Giorgia & Zoli, Mariangela, 2016. "Interpreting bargaining strategies of developing countries in climate negotiations. A quantitative approach," Ecological Economics, Elsevier, vol. 121(C), pages 128-139.
    3. Corradini, Massimiliano & Costantini, Valeria & Markandya, Anil & Paglialunga, Elena & Sforna, Giorgia, 2018. "A dynamic assessment of instrument interaction and timing alternatives in the EU low-carbon policy mix design," Energy Policy, Elsevier, vol. 120(C), pages 73-84.
    4. Zhang, Yingying & Wang, Xinpeng & Feng, Nianqiao, 2024. "The path of green finance to promote the realization of low-carbon economic transformation under the carbon peaking and carbon neutrality goals: Theoretical model and empirical analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. Valeria Costantini & Giorgia Sforna & Anil Markandya & Elena Paglialunga, 2017. "Impact And Distribution Of Climatic Damages: A Methodological Proposal With A Dynamic Cge Model Applied To Global Climate Negotiations," Departmental Working Papers of Economics - University 'Roma Tre' 0226, Department of Economics - University Roma Tre.
    6. Massimiliano Corradini & Valeria Costantini & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2018. "Some reflections on policy mix in the EU low-carbon strategy," Departmental Working Papers of Economics - University 'Roma Tre' 0236, Department of Economics - University Roma Tre.
    7. Linnenluecke, Martina K. & Smith, Tom & McKnight, Brent, 2016. "Environmental finance: A research agenda for interdisciplinary finance research," Economic Modelling, Elsevier, vol. 59(C), pages 124-130.
    8. Antimiani, Alessandro & Costantini, Valeria & Kuik, Onno & Paglialunga, Elena, 2016. "Mitigation of adverse effects on competitiveness and leakage of unilateral EU climate policy: An assessment of policy instruments," Ecological Economics, Elsevier, vol. 128(C), pages 246-259.
    9. Li, Jun & Hamdi-Cherif, Meriem & Cassen, Christophe, 2017. "Aligning domestic policies with international coordination in a post-Paris global climate regime: A case for China," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 258-274.
    10. Zhao, Xin & Benkraiem, Ramzi & Abedin, Mohammad Zoynul & Zhou, Silu, 2024. "The charm of green finance: Can green finance reduce corporate carbon emissions?," Energy Economics, Elsevier, vol. 134(C).
    11. Kaifeng Li & Yun Chen & Jingren Chen, 2023. "How to Improve Industrial Green Total Factor Productivity under Dual Carbon Goals? Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-13, June.
    12. Kuosmanen, Timo & Zhou, Xun & Dai, Sheng, 2020. "How much climate policy has cost for OECD countries?," World Development, Elsevier, vol. 125(C).
    13. Steffen Mohrenberg & Vally Koubi & Thomas Bernauer, 2019. "Effects of funding mechanisms on participation in multilateral environmental agreements," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 19(1), pages 1-18, February.
    14. Thomas Kalinowski, 2020. "Institutional Innovations and Their Challenges in the Green Climate Fund: Country Ownership, Civil Society Participation and Private Sector Engagement," Sustainability, MDPI, vol. 12(21), pages 1-13, October.
    15. Antimiani, Alessandro & Costantini, Valeria & Markandya, Anil & Paglialunga, Elena & Sforna, Giorgia, 2016. "Assessing costs and benefits of current climate negotiations," Conference papers 332752, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2015. "The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design," Economic Modelling, Elsevier, vol. 51(C), pages 38-52.
    17. Meng Xu & Zhongfeng Qin & Yigang Wei, 2023. "Exploring the financing and allocating schemes for the Chinese Green Climate Fund," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2487-2508, March.
    18. Kiuila, Olga, 2018. "Decarbonisation perspectives for the Polish economy," Energy Policy, Elsevier, vol. 118(C), pages 69-76.
    19. Li, Liming & Chen, Weidong, 2021. "The impact of subsidies in a transboundary pollution game with myopic players," Omega, Elsevier, vol. 103(C).
    20. He, Yu & Liu, Ruizhi, 2023. "The impact of the level of green finance development on corporate debt financing capacity," Finance Research Letters, Elsevier, vol. 52(C).
    21. Weiguo Fan & Zhicheng Gao & Nan Chen & Hejie Wei & Zihan Xu & Nachuan Lu & Xuechao Wang & Peng Zhang & Jiahui Ren & Sergio Ulgiati & Xiaobin Dong, 2018. "It is Worth Pondering Whether a Carbon Tax is Suitable for China’s Agricultural-Related Sectors," Energies, MDPI, vol. 11(9), pages 1-26, August.

  3. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.

    Cited by:

    1. Anastasiia Pankratova, 2024. "Forecasting Key Macroeconomic Indicators Using DMA and DMS Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 32-52, March.
    2. Krzysztof DRACHAL, 2020. "Forecasting the Inflation Rate in Poland and U.S. Using Dynamic Model Averaging (DMA) and Google Queries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 18-34, July.
    3. 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.
    4. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.

  4. 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.
    See citations under working paper version above.
  5. Mastrullo, R. & Mauro, A.W. & Menna, L. & Palma, A. & Vanoli, G.P., 2014. "Transient model of a vertical freezer with door openings and defrost effects," Applied Energy, Elsevier, vol. 121(C), pages 38-50.

    Cited by:

    1. Harrington, Lloyd & Aye, Lu & Fuller, Bob, 2018. "Impact of room temperature on energy consumption of household refrigerators: Lessons from analysis of field and laboratory data," Applied Energy, Elsevier, vol. 211(C), pages 346-357.
    2. Alzuwaid, F.A. & Ge, Y.T. & Tassou, S.A. & Sun, J., 2016. "The novel use of phase change materials in an open type refrigerated display cabinet: A theoretical investigation," Applied Energy, Elsevier, vol. 180(C), pages 76-85.
    3. Huang, Tao & Bacher, Peder & Møller, Jan Kloppenborg & D’Ettorre, Francesco & Markussen, Wiebke Brix, 2023. "A step towards digital operations—A novel grey-box approach for modelling the heat dynamics of ultra-low temperature freezing chambers," Applied Energy, Elsevier, vol. 349(C).
    4. Zeyu Wang & Ravi S. Srinivasan, 2015. "Classification of Household Appliance Operation Cycles: A Case-Study Approach," Energies, MDPI, vol. 8(9), pages 1-15, September.
    5. Borges, Bruno N. & Melo, Cláudio & Hermes, Christian J.L., 2015. "Transient simulation of a two-door frost-free refrigerator subjected to periodic door opening and evaporator frosting," Applied Energy, Elsevier, vol. 147(C), pages 386-395.

  6. Palma, Andreza Aparecida & Portugal, Marcelo Savino, 2011. "Preferences of the Central Bank of Brasil under the inflation targeting regime: commitment vs. discretion," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(4), November.

    Cited by:

    1. 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.
    2. Edilean Silva Bejarano Aragón & Gabriela Medeiros, 2015. "Monetary policy in Brazil: evidence of a reaction function with time-varying parameters and endogenous regressors," Empirical Economics, Springer, vol. 48(2), pages 557-575, March.

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 2 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-MON: Monetary Economics (2) 2014-03-15 2018-04-23
  2. NEP-CBA: Central Banking (1) 2014-03-15
  3. NEP-DGE: Dynamic General Equilibrium (1) 2014-03-15
  4. NEP-MAC: Macroeconomics (1) 2014-03-15

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