Silvinha Pinto Vasconcelos

Personal Details

First Name:	Silvinha
Middle Name:	Pinto
Last Name:	Vasconcelos
Suffix:
RePEc Short-ID:	pva1089
	[This author has chosen not to make the email address public]

Affiliation

Faculdade de Economia
Universidade Federal de Juiz de Fora

Juiz de Fora, Brazil
http://www.ufjf.br/economia/
RePEc:edi:fufjfbr (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. Douglas Silveira & Silvinha Vasconcelos & Marcelo Resende & Daniel O. Cajueiro, 2021. "Won't Get Fooled Again: A Supervised Machine Learning Approach for Screening Gasoline Cartels," CESifo Working Paper Series 8835, CESifo.
   • Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).

   Cited by:

   1. Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
   2. David Imhof & Emanuel W Viklund & Martin Huber, 2025. "Catching Bid-rigging Cartels with Graph Attention Neural Networks," Papers 2507.12369, arXiv.org, revised Jul 2025.
   3. Aaltio, Aapo & Buri, Riku & Jokelainen, Antto & Lundberg, Johan, 2025. "Complementary bidding and cartel detection: Evidence from Nordic asphalt markets," International Journal of Industrial Organization, Elsevier, vol. 98(C).
   4. David P. Brown & Andrew Eckert & Douglas Silveira, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-07, University of Alberta, Department of Economics.
   5. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
   6. Tabak, Benjamin Miranda & e Silva, Igor Bettanin Dalla Riva & Quintino, Derick David & Silva, Thiago Christiano, 2025. "Fuel prices connectedness across Brazilian capitals: The case of ethanol and gasoline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
   7. Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
   8. Sylwester Bejger, 2024. "Machine Learning in Cartel Screening—The Case of Parallel Pricing in a Fuel Wholesale Market," Energies, MDPI, vol. 17(16), pages 1-17, August.
   9. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
   10. Huber, Martin & Imhof, David, 2023. "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, vol. 89(C).
   11. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

2. Silvinha P. Vasconcelos & Claudio R. F. Vasconcelos, 2008. "Análise do comportamento estratégico em preços no mercado de gasolina brasileiro: modelando volatilidade," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807161313100, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

   Cited by:

Articles

1. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
   • Douglas Silveira & Silvinha Vasconcelos & Marcelo Resende & Daniel O. Cajueiro, 2021. "Won't Get Fooled Again: A Supervised Machine Learning Approach for Screening Gasoline Cartels," CESifo Working Paper Series 8835, CESifo.
   See citations under working paper version above.
2. Silveira, Douglas & Vasconcelos, Silvinha, 2020. "Essays on duopoly competition with asymmetric firms: Is profit maximization always an evolutionary stable strategy?," International Journal of Production Economics, Elsevier, vol. 225(C).

   Cited by:

   1. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
   2. Campuzano-Bolarín, Francisco & Marín-García, Fulgencio & Moreno-Nicolás, José Andrés & Bogataj, Marija & Bogataj, David, 2021. "Impacts of variable interest rates on the market areas of a spatial duopoly in supply chains operating on the finite horizon," International Journal of Production Economics, Elsevier, vol. 236(C).
   3. Khan, Rizwan Ullah & Richardson, Christopher & Salamzadeh, Yashar, 2022. "Spurring competitiveness, social and economic performance of family-owned SMEs through social entrepreneurship; a multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
   4. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
   5. Ilko Vrankić & Tomislav Herceg & Mirjana Pejić Bach, 2021. "Dynamics and stability of evolutionary optimal strategies in duopoly," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 1001-1019, September.
   6. Tan, Bing Qing & Kang, Kai & Zhong, Ray Y., 2023. "Electric vehicle charging infrastructure investment strategy analysis: State-owned versus private parking lots," Transport Policy, Elsevier, vol. 141(C), pages 54-71.
   7. Douglas Silveira & Izak Silva & Silvinha Vasconcelos & Fernando Perobelli, 2020. "The Brexit game: uncertainty and location decision," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1515-1538, December.
   8. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2022. "Developing hydrogen refueling stations: An evolutionary game approach and the case of China," Energy Economics, Elsevier, vol. 115(C).
   9. Yongqiang Su & Jinfa Shi & Manman Zhang, 2025. "Research on the Behavioral Strategies of Manufacturing Enterprises for High-Quality Development: A Perspective on Endogenous and Exogenous Factors," Mathematics, MDPI, vol. 13(19), pages 1-35, October.
   10. Yin, Ting & Chen, Siyuan & Wang, Ge & Tan, Yuxuan & Teng, Fei & Zhang, Qi, 2024. "Can subsidy policies achieve fuel cell logistics vehicle (FCLV) promotion targets? Evidence from the beijing-tianjin-hebei fuel cell vehicle demonstration city cluster in China," Energy, Elsevier, vol. 311(C).

3. Douglas Silveira & Izak Silva & Silvinha Vasconcelos & Fernando Perobelli, 2020. "The Brexit game: uncertainty and location decision," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1515-1538, December.

   Cited by:

   1. Lucía Bolea & Rosa Duarte & Geoffrey J. D. Hewings & Sofía Jiménez & Julio Sánchez‐Chóliz, 2022. "The role of regions in global value chains: an analysis for the European Union," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 771-794, August.

4. Ademir Rocha & Douglas Silveira & Fernando Perobelli & Silvinha Vasconcelos, 2019. "Modelling the location choice: evidence from an evolutionary game based on regional input–output analysis," Regional Studies, Taylor & Francis Journals, vol. 53(12), pages 1734-1746, December.
   • Ademir Rocha & Douglas Silveira & Fernando Perobelli & Silvinha Vasconcelos, 2020. "Modelling the location choice: evidence from an evolutionary game based on regional input–output analysis," Regional Studies, Taylor & Francis Journals, vol. 53(12), pages 1734-1746, July.

   Cited by:

   1. Douglas Silveira & Izak Silva & Silvinha Vasconcelos & Fernando Perobelli, 2020. "The Brexit game: uncertainty and location decision," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1515-1538, December.

5. da Silva, André Suriane & Vasconcelos, Cláudio Roberto Fóffano & Vasconcelos, Silvinha Pinto & de Mattos, Rogério Silva, 2014. "Symmetric transmission of prices in the retail gasoline market in Brazil," Energy Economics, Elsevier, vol. 43(C), pages 11-21.

   Cited by:

   1. Kyungsoo Cha & Chul-Yong Lee, 2023. "Rockets and Feathers in the Gasoline Market: Evidence from South Korea," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
   2. Thiago Cacicedo, 2022. "Cartels and asymmetric cost pass-through: evidence from Brazilian gas stations," Economics Bulletin, AccessEcon, vol. 42(4), pages 2034-2042.
   3. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
      • Douglas Silveira & Silvinha Vasconcelos & Marcelo Resende & Daniel O. Cajueiro, 2021. "Won't Get Fooled Again: A Supervised Machine Learning Approach for Screening Gasoline Cartels," CESifo Working Paper Series 8835, CESifo.
   4. Hector M. Nunez & Jesus Otero, 2017. "Integration in Gasoline and Ethanol Markets in Brazil over Time and Space under the Flex-fuel Technology," The Energy Journal, , vol. 38(2), pages 1-26, March.
      • Hector M. Nuñez and Jesús Otero, 2017. "Integration in Gasoline and Ethanol Markets in Brazil over Time and Space under the Flex-fuel Technology," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
      • Nuñez, Hector M. & Otero, Jesús, 2015. "Integration in Gasoline and Ethanol Markets in Brazil over Time and Space under the Flex-fuel Technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204306, Agricultural and Applied Economics Association.
   5. Leonardo Cardoso & Mauricio Bittencourt & Elena Irwin, 2016. "Price asymmetry and retailers heterogeneity in Brazilian gas stations," ERSA conference papers ersa16p796, European Regional Science Association.
      • Leonardo Chaves Borges Cardoso & Maurício Vaz Lobo Bittencourt & Elena Grace Irwin, 2018. "Price Asymmetry And Retailers Heterogeneity In Brazilian Gas Stations," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 169, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
   6. Chuxiong Deng & Zhujun Jiang & Chuanwang Sun, 2018. "Estimating the Efficiency and Impacts of Petroleum Product Pricing Reforms in China," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
   7. Tabak, Benjamin Miranda & e Silva, Igor Bettanin Dalla Riva & Quintino, Derick David & Silva, Thiago Christiano, 2025. "Fuel prices connectedness across Brazilian capitals: The case of ethanol and gasoline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
   8. Bergantino, Angela S. & Capozza, Claudia & Intini, Mario, 2020. "Empirical investigation of retail fuel pricing: The impact of spatial interaction, competition and territorial factors," Energy Economics, Elsevier, vol. 90(C).
   9. Zhang, Wenbei & Qiu, Feng, 2024. "Rockets and Feathers in the Oil and Gasoline Markets: In-Depth Analysis of Three Asymmetries," 2024 Annual Meeting, July 28-30, New Orleans, LA 344062, Agricultural and Applied Economics Association.

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 4 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-COM: Industrial Competition (3) 2005-12-01 2021-02-15 2024-11-25
2. NEP-ENE: Energy Economics (2) 2014-10-17 2021-02-15
3. NEP-BIG: Big Data (1) 2021-02-15
4. NEP-CSE: Economics of Strategic Management (1) 2014-10-17
5. NEP-EFF: Efficiency and Productivity (1) 2024-11-25
6. NEP-HME: Heterodox Microeconomics (1) 2014-10-17
7. NEP-LAW: Law and Economics (1) 2021-02-15

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