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Brandon Pecoraro

Personal Details

First Name:Brandon
Middle Name:
Last Name:Pecoraro
Suffix:
RePEc Short-ID:ppe674
[This author has chosen not to make the email address public]
http://www.brandonpecoraro.com
Terminal Degree:2015 Economics Department; Fordham University (from RePEc Genealogy)

Affiliation

Joint Committee on Taxation
United States Congress
Government of the United States

Washington, District of Columbia (United States)
http://www.house.gov/jct/
RePEc:edi:jctgvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Moore, Rachel & Pecoraro, Brandon, 2021. "Quantitative Analysis of a Wealth Tax in the United States: Exclusions, Evasion, and Expenditures," MPRA Paper 109120, University Library of Munich, Germany.
  2. Moore, Rachel & Pecoraro, Brandon, 2019. "Modeling the Internal Revenue Code in a heterogeneous-agent framework: An application to TCJA," MPRA Paper 93110, University Library of Munich, Germany.
  3. Moore, Rachel & Pecoraro, Brandon, 2018. "Macroeconomic Implications of Modeling the Internal Revenue Code in a Heterogeneous-Agent Framework," MPRA Paper 87240, University Library of Munich, Germany.
  4. Rachel, Moore & Pecoraro, Brandon, 2018. "Dynamic Scoring: An Assessment of Fiscal Closing Assumptions," MPRA Paper 89325, University Library of Munich, Germany.

Articles

  1. Moore, Rachel & Pecoraro, Brandon, 2023. "Quantitative analysis of a wealth tax for the United States: Exclusions and expenditures," Journal of Macroeconomics, Elsevier, vol. 78(C).
  2. Rachel Moore & Brandon Pecoraro, 2021. "A Tale of Two Bases: Progressive Taxation of Capital and Labor Income," Public Finance Review, , vol. 49(3), pages 335-391, May.
  3. Moore, Rachel & Pecoraro, Brandon, 2020. "Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework," Economic Modelling, Elsevier, vol. 87(C), pages 72-91.
  4. Rachel Moore & Brandon Pecoraro, 2020. "Dynamic Scoring: An Assessment of Fiscal Closing Assumptions," Public Finance Review, , vol. 48(3), pages 340-353, May.
  5. Pecoraro, Brandon, 2017. "Why don't voters ‘put the Gini back in the bottle'? Inequality and economic preferences for redistribution," European Economic Review, Elsevier, vol. 93(C), pages 152-172.
  6. Philip Shaw & Marina-Selini Katsaiti & Brandon Pecoraro, 2015. "On The Determinants Of Educational Corruption: The Case Of Ukraine," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 698-713, October.
  7. Pecoraro, Brandon, 2014. "Inequality in democracies: Testing the classic democratic theory of redistribution," Economics Letters, Elsevier, vol. 123(3), pages 398-401.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Moore, Rachel & Pecoraro, Brandon, 2018. "Macroeconomic Implications of Modeling the Internal Revenue Code in a Heterogeneous-Agent Framework," MPRA Paper 87240, University Library of Munich, Germany.

    Mentioned in:

    1. Macroeconomic Implications of Modeling the Internal Revenue Code in a Heterogeneous-Agent Framework
      by Christian Zimmermann in NEP-DGE blog on 2018-10-10 14:52:57

Working papers

  1. Moore, Rachel & Pecoraro, Brandon, 2019. "Modeling the Internal Revenue Code in a heterogeneous-agent framework: An application to TCJA," MPRA Paper 93110, University Library of Munich, Germany.

    Cited by:

    1. Moore, Rachel & Pecoraro, Brandon, 2020. "Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework," Economic Modelling, Elsevier, vol. 87(C), pages 72-91.

  2. Moore, Rachel & Pecoraro, Brandon, 2018. "Macroeconomic Implications of Modeling the Internal Revenue Code in a Heterogeneous-Agent Framework," MPRA Paper 87240, University Library of Munich, Germany.

    Cited by:

    1. Martino Tasso, 2020. "Do details matter? An analysis of Italian personal income tax," Temi di discussione (Economic working papers) 1301, Bank of Italy, Economic Research and International Relations Area.
    2. Moore, Rachel & Pecoraro, Brandon, 2019. "Modeling the Internal Revenue Code in a heterogeneous-agent framework: An application to TCJA," MPRA Paper 93110, University Library of Munich, Germany.
    3. Moore, Rachel & Pecoraro, Brandon, 2021. "Quantitative Analysis of a Wealth Tax in the United States: Exclusions, Evasion, and Expenditures," MPRA Paper 109120, University Library of Munich, Germany.
    4. Rachel, Moore & Pecoraro, Brandon, 2018. "Dynamic Scoring: An Assessment of Fiscal Closing Assumptions," MPRA Paper 89325, University Library of Munich, Germany.
    5. Moore, Rachel & Pecoraro, Brandon, 2023. "Quantitative analysis of a wealth tax for the United States: Exclusions and expenditures," Journal of Macroeconomics, Elsevier, vol. 78(C).
    6. Rachel Moore & Brandon Pecoraro, 2021. "A Tale of Two Bases: Progressive Taxation of Capital and Labor Income," Public Finance Review, , vol. 49(3), pages 335-391, May.

  3. Rachel, Moore & Pecoraro, Brandon, 2018. "Dynamic Scoring: An Assessment of Fiscal Closing Assumptions," MPRA Paper 89325, University Library of Munich, Germany.

    Cited by:

    1. Moore, Rachel & Pecoraro, Brandon, 2019. "Modeling the Internal Revenue Code in a heterogeneous-agent framework: An application to TCJA," MPRA Paper 93110, University Library of Munich, Germany.
    2. Moore, Rachel & Pecoraro, Brandon, 2021. "Quantitative Analysis of a Wealth Tax in the United States: Exclusions, Evasion, and Expenditures," MPRA Paper 109120, University Library of Munich, Germany.
    3. Moore, Rachel & Pecoraro, Brandon, 2023. "Quantitative analysis of a wealth tax for the United States: Exclusions and expenditures," Journal of Macroeconomics, Elsevier, vol. 78(C).
    4. Moore, Rachel & Pecoraro, Brandon, 2020. "Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework," Economic Modelling, Elsevier, vol. 87(C), pages 72-91.
    5. Rachel Moore & Brandon Pecoraro, 2021. "A Tale of Two Bases: Progressive Taxation of Capital and Labor Income," Public Finance Review, , vol. 49(3), pages 335-391, May.

Articles

  1. Rachel Moore & Brandon Pecoraro, 2021. "A Tale of Two Bases: Progressive Taxation of Capital and Labor Income," Public Finance Review, , vol. 49(3), pages 335-391, May.

    Cited by:

    1. Moore, Rachel & Pecoraro, Brandon, 2021. "Quantitative Analysis of a Wealth Tax in the United States: Exclusions, Evasion, and Expenditures," MPRA Paper 109120, University Library of Munich, Germany.

  2. Moore, Rachel & Pecoraro, Brandon, 2020. "Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework," Economic Modelling, Elsevier, vol. 87(C), pages 72-91.
    See citations under working paper version above.
  3. Rachel Moore & Brandon Pecoraro, 2020. "Dynamic Scoring: An Assessment of Fiscal Closing Assumptions," Public Finance Review, , vol. 48(3), pages 340-353, May.
    See citations under working paper version above.
  4. Pecoraro, Brandon, 2017. "Why don't voters ‘put the Gini back in the bottle'? Inequality and economic preferences for redistribution," European Economic Review, Elsevier, vol. 93(C), pages 152-172.

    Cited by:

    1. Giorgio D'Agostino & Luca Pieroni & Margherita Scarlato, 2019. "Further evidence of the relationship between social transfers and income inequality in OECD countries," Departmental Working Papers of Economics - University 'Roma Tre' 0244, Department of Economics - University Roma Tre.
    2. Proto, Eugenio & Liberini, Federica & Oswald, Andrew & Redoano, Michela, 2019. "Was Brexit Triggered by the Old and Unhappy? Or by Financial Feelings?," CEPR Discussion Papers 13439, C.E.P.R. Discussion Papers.
    3. d’Agostino, Giorgio & Pieroni, Luca & Scarlato, Margherita, 2020. "Social transfers and income inequality in OECD countries," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 313-327.

  5. Philip Shaw & Marina-Selini Katsaiti & Brandon Pecoraro, 2015. "On The Determinants Of Educational Corruption: The Case Of Ukraine," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 698-713, October.

    Cited by:

    1. Zeena Mardawi & Guillermina Tormo‐Carbó & Elies Seguí‐Mas & Saed Al‐Koni, 2023. "Does corruption rule the auditor's soul? Examining the auditors' attitude toward accepting corruption behaviors," Economics and Politics, Wiley Blackwell, vol. 35(3), pages 1070-1098, November.
    2. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    3. Vasylyeva, Anna & Merkle, Ortrun, 2018. "Combatting corruption in higher education in Ukraine," MERIT Working Papers 2018-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Robson Fernandes Soares & Edson Ronaldo Guarido Filho, 2021. "Anti-Corruption Enforcement and Organizations: A Narrative Review," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 25(6), pages 190149-1901.
    5. Shaw, Philip & Mauro, Joseph A., 2023. "The macroeconomic implications of corruption in the choice to educate," Economic Systems, Elsevier, vol. 47(2).
    6. Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira, 2016. "On the development of students’ attitudes towards corruption and cheating in Russian universities," FSES Working Papers 467, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Asif Reza Anik & Siegfried Bauer, 2014. "Household Income and Relationships with Different Power Entities as Determinants of Corruption," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.

  6. Pecoraro, Brandon, 2014. "Inequality in democracies: Testing the classic democratic theory of redistribution," Economics Letters, Elsevier, vol. 123(3), pages 398-401.

    Cited by:

    1. Ignacio Campomanes, 2022. "Inequality and Growth: How Social Mobility Reshapes The Main Theoretical Channels," Working Papers 599, ECINEQ, Society for the Study of Economic Inequality.
    2. Giorgio D'Agostino & Luca Pieroni & Margherita Scarlato, 2019. "Further evidence of the relationship between social transfers and income inequality in OECD countries," Departmental Working Papers of Economics - University 'Roma Tre' 0244, Department of Economics - University Roma Tre.
    3. Campomanes, Ignacio P., 2024. "The political economy of inequality, mobility and redistribution," Journal of Macroeconomics, Elsevier, vol. 79(C).
    4. Ebney Ayaj Rana & Mustafa Kamal, 2018. "Does Clientelism Affect Income Inequality? Evidence from Panel Data," Journal of Income Distribution, Ad libros publications inc., vol. 26(1), pages 1-24, March.
    5. Colin Jennings, 2015. "Collective Choice and Individual Action: Education Policy and Social Mobility in England," CESifo Working Paper Series 5158, CESifo.
    6. Colagrossi, Marco & Karagiannis, Stelios & Raab, Roman, 2019. "The Median Voter Takes it All: Preferences for Redistribution and Income Inequality in the EU-28," Working Papers 2019-06, Joint Research Centre, European Commission.
    7. Pecoraro, Brandon, 2017. "Why don't voters ‘put the Gini back in the bottle'? Inequality and economic preferences for redistribution," European Economic Review, Elsevier, vol. 93(C), pages 152-172.
    8. d’Agostino, Giorgio & Pieroni, Luca & Scarlato, Margherita, 2020. "Social transfers and income inequality in OECD countries," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 313-327.

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 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-DGE: Dynamic General Equilibrium (4) 2018-09-03 2018-10-29 2019-04-15 2021-08-16
  2. NEP-MAC: Macroeconomics (4) 2018-09-03 2018-10-29 2019-04-15 2021-08-16
  3. NEP-ISF: Islamic Finance (1) 2021-08-16
  4. NEP-PBE: Public Economics (1) 2021-08-16
  5. NEP-PUB: Public Finance (1) 2021-08-16

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