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Marcelo Byrro Ribeiro

Personal Details

First Name:Marcelo
Middle Name:Byrro
Last Name:Ribeiro
Suffix:
RePEc Short-ID:pri189
[This author has chosen not to make the email address public]
https://www.if.ufrj.br/~mbr
Terminal Degree:1992 (from RePEc Genealogy)

Affiliation

Universidade Federal do Rio de Janeiro - Instituto de Física

http://www.if.ufrj.br
Rio de Janeiro, Brazil

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Everton M. C. Abreu & Newton J. Moura Jr. & Abner D. Soares & Marcelo B. Ribeiro, 2017. "Oscillations in the Tsallis income distribution," Papers 1706.10141, arXiv.org, revised Jul 2019.
  2. Abner D. Soares & Newton J. Moura Jr. & Marcelo B. Ribeiro, 2016. "Tsallis statistics in the income distribution of Brazil," Papers 1602.06855, arXiv.org, revised Mar 2016.
  3. N. J. Moura Jr & Marcelo B. Ribeiro, 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Papers 1301.1090, arXiv.org, revised Jan 2013.
  4. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.
  5. Newton J. Moura Jr. & Marcelo B. Ribeiro, 2008. "Evidence for the Gompertz Curve in the Income Distribution of Brazil 1978-2005," Papers 0812.2664, arXiv.org.

Articles

  1. Abreu, Everton M.C. & Moura, Newton J. & Soares, Abner D. & Ribeiro, Marcelo B., 2019. "Oscillations in the Tsallis income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
  2. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
  3. Conde-Saavedra, G. & Iribarrem, A. & Ribeiro, Marcelo B., 2015. "Fractal analysis of the galaxy distribution in the redshift range 0.45≤z≤5.0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 332-344.
  4. Moura, N.J. & Ribeiro, Marcelo B., 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2088-2103.
  5. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.
  6. N. J. Moura & M. B. Ribeiro, 2009. "Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(1), pages 101-120, January.
  7. Moura, Newton J. & Ribeiro, Marcelo B., 2006. "Zipf law for Brazilian cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 441-448.

Books

  1. Ribeiro,Marcelo Byrro, 2020. "Income Distribution Dynamics of Economic Systems," Cambridge Books, Cambridge University Press, number 9781107092532, September.

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. Everton M. C. Abreu & Newton J. Moura Jr. & Abner D. Soares & Marcelo B. Ribeiro, 2017. "Oscillations in the Tsallis income distribution," Papers 1706.10141, arXiv.org, revised Jul 2019.

    Cited by:

    1. Sinan Küfeoğlu & Michael Pollitt, 2018. "The impact of PVs and EVs on Domestic Electricity Network Charges: a case study from Great Britain," Cambridge Working Papers in Economics 1830, Faculty of Economics, University of Cambridge.
    2. Wild, Phillip, 2017. "Determining commercially viable two-way and one-way ‘Contract-for-Difference’ strike prices and revenue receipts," Energy Policy, Elsevier, vol. 110(C), pages 191-201.
    3. Kumar, Anjani & Saroj, Sunil & Takeshima, Hiroyuki & Joshi, Pramod Kumar, 2018. "Does cooperative membership improve household welfare? Evidence from a panel data analysis of smallholder dairy farmers in Bihar, India:," IFPRI discussion papers 1703, International Food Policy Research Institute (IFPRI).
    4. Néda, Zoltán & Gere, István & Biró, Tamás S. & Tóth, Géza & Derzsy, Noemi, 2020. "Scaling in income inequalities and its dynamical origin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).

  2. Abner D. Soares & Newton J. Moura Jr. & Marcelo B. Ribeiro, 2016. "Tsallis statistics in the income distribution of Brazil," Papers 1602.06855, arXiv.org, revised Mar 2016.

    Cited by:

    1. Răzvan-Cornel Sfetcu & Vasile Preda, 2024. "Order Properties Concerning Tsallis Residual Entropy," Mathematics, MDPI, vol. 12(3), pages 1-16, January.
    2. Duarte Queirós, Sílvio M. & Anteneodo, Celia, 2016. "Complexity in quantitative finance and economics," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 1-2.
    3. Martins, Adriel M.F. & Fernandes, Leonardo H.S. & Nascimento, Abraão D.C., 2023. "Scientific progress in information theory quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    4. Paulo L. dos Santos & Jangho Yang, 2019. "The persistent and informative distribution of returns on capital," Economics and Business Letters, Oviedo University Press, vol. 8(3), pages 156-165.
    5. da Silva, Sérgio Luiz Eduardo Ferreira, 2021. "Newton’s cooling law in generalised statistical mechanics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    6. Néda, Zoltán & Gere, István & Biró, Tamás S. & Tóth, Géza & Derzsy, Noemi, 2020. "Scaling in income inequalities and its dynamical origin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    7. Răzvan-Cornel Sfetcu & Sorina-Cezarina Sfetcu & Vasile Preda, 2021. "Ordering Awad–Varma Entropy and Applications to Some Stochastic Models," Mathematics, MDPI, vol. 9(3), pages 1-15, January.
    8. Paulo L. dos Santos, 2017. "The Principle of Social Scaling," Complexity, Hindawi, vol. 2017, pages 1-9, December.

  3. N. J. Moura Jr & Marcelo B. Ribeiro, 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Papers 1301.1090, arXiv.org, revised Jan 2013.

    Cited by:

    1. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Mariolis, Theodore, 2018. "A non-linear post-Keynesian Goodwin-type endogenous model of the cycle for the USA," MPRA Paper 90036, University Library of Munich, Germany.
    2. Ricardo A. Araújo & Marwil J. Dávila-Fernández, 2018. "Some new insights on the empirics of Goodwin’s growth-cycle model," Department of Economics University of Siena 790, Department of Economics, University of Siena.
    3. Plushchevskaya, Y., 2017. "A Basic Neomarxist Model of Economic Fluctuations," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 53-69.
    4. Nikolaos Rodousakis, 2016. "Testing Goodwin’s Growth Cycle Disaggregated Models: Evidence from the Input-Output Tables of the Greek Economy for the years 1988-1997," Bulletin of Political Economy, Bulletin of Political Economy, vol. 10(2), pages 99-118, December.
    5. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Mariolis, Theodore, 2014. "An endogenous Goodwin-Keynes business cycle model: Evidence for Germany (1991-2007)," MPRA Paper 90035, University Library of Munich, Germany.
    6. Sordi, Serena & Vercelli, Alessandro, 2014. "Unemployment, income distribution and debt-financed investment in a growth cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 325-348.
    7. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    8. Kerim Eser Afc{s}ar & Mehmet Ozyi~git & Yusuf Yuksel & Umit Ak{i}nc{i}, 2021. "Testing the Goodwin Growth Cycles with Econophysics Approach in 2002-2019 Period in Turkey," Papers 2106.02546, arXiv.org.
    9. Kang, Sang Hoon & Lahmiri, Salim & Uddin, Gazi Salah & Arreola Hernandez, Jose & Yoon, Seong-Min, 2020. "Inflation cycle synchronization in ASEAN countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    10. Florent McIsaac, 2021. "Testing Goodwin with a stochastic differential approach—The United States (1948–2019)," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 696-730, November.
    11. Matheus R. Grasselli & Aditya Maheshwari, 2018. "Testing a Goodwin model with general capital accumulation rate," Papers 1803.01536, arXiv.org.

  4. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.

    Cited by:

    1. Sarabia, José María & Prieto, Faustino & Trueba, Carmen & Jordá, Vanesa, 2013. "About the modified Gaussian family of income distributions with applications to individual incomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1398-1408.
    2. Bertotti, Maria Letizia & Modanese, Giovanni, 2011. "From microscopic taxation and redistribution models to macroscopic income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3782-3793.
    3. Siudem, Grzegorz & Nowak, Przemysław & Gagolewski, Marek, 2022. "Power laws, the Price model, and the Pareto type-2 distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    4. Elvis Oltean, 2016. "Modelling income, wealth, and expenditure data by use of Econophysics," Papers 1603.08383, arXiv.org.
    5. N. J. Moura Jr & Marcelo B. Ribeiro, 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Papers 1301.1090, arXiv.org, revised Jan 2013.
    6. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    7. Bourguignon, Marcelo & Saulo, Helton & Fernandez, Rodrigo Nobre, 2016. "A new Pareto-type distribution with applications in reliability and income data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 166-175.
    8. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & Hussain, Saiful Izzuan, 2021. "Measuring income inequality: A robust semi-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    9. Zoltan Neda & Istvan Gere & Tamas S. Biro & Geza Toth & Noemi Derzsy, 2019. "Scaling in Income Inequalities and its Dynamical Origin," Papers 1911.02449, arXiv.org, revised Mar 2020.
    10. Aydiner, Ekrem & Cherstvy, Andrey G. & Metzler, Ralf, 2018. "Wealth distribution, Pareto law, and stretched exponential decay of money: Computer simulations analysis of agent-based models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 278-288.
    11. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    12. Kerim Eser Afc{s}ar & Mehmet Ozyi~git & Yusuf Yuksel & Umit Ak{i}nc{i}, 2021. "Testing the Goodwin Growth Cycles with Econophysics Approach in 2002-2019 Period in Turkey," Papers 2106.02546, arXiv.org.
    13. Néda, Zoltán & Gere, István & Biró, Tamás S. & Tóth, Géza & Derzsy, Noemi, 2020. "Scaling in income inequalities and its dynamical origin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    14. Maria Letizia Bertotti & Giovanni Modanese, 2011. "From microscopic taxation and redistribution models to macroscopic income distributions," Papers 1109.0606, arXiv.org.
    15. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "Optimal threshold for Pareto tail modelling in the presence of outliers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 169-180.

  5. Newton J. Moura Jr. & Marcelo B. Ribeiro, 2008. "Evidence for the Gompertz Curve in the Income Distribution of Brazil 1978-2005," Papers 0812.2664, arXiv.org.

    Cited by:

    1. Sarabia, José María & Prieto, Faustino & Trueba, Carmen & Jordá, Vanesa, 2013. "About the modified Gaussian family of income distributions with applications to individual incomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1398-1408.
    2. N. J. Moura Jr & Marcelo B. Ribeiro, 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Papers 1301.1090, arXiv.org, revised Jan 2013.
    3. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.
    4. Bourguignon, Marcelo & Saulo, Helton & Fernandez, Rodrigo Nobre, 2016. "A new Pareto-type distribution with applications in reliability and income data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 166-175.
    5. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    6. Guo, Qiang & Gao, Li, 2012. "Distribution of individual incomes in China between 1992 and 2009," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5139-5145.
    7. Kerim Eser Afc{s}ar & Mehmet Ozyi~git & Yusuf Yuksel & Umit Ak{i}nc{i}, 2021. "Testing the Goodwin Growth Cycles with Econophysics Approach in 2002-2019 Period in Turkey," Papers 2106.02546, arXiv.org.
    8. Xu, Yan & Wang, Yougui & Tao, Xiaobo & Ližbetinová, Lenka, 2017. "Evidence of Chinese income dynamics and its effects on income scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 143-152.

Articles

  1. Abreu, Everton M.C. & Moura, Newton J. & Soares, Abner D. & Ribeiro, Marcelo B., 2019. "Oscillations in the Tsallis income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
    See citations under working paper version above.
  2. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    See citations under working paper version above.
  3. Conde-Saavedra, G. & Iribarrem, A. & Ribeiro, Marcelo B., 2015. "Fractal analysis of the galaxy distribution in the redshift range 0.45≤z≤5.0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 332-344.

    Cited by:

    1. García-Farieta, J.E. & Casas-Miranda, R.A., 2018. "Effect of observational holes in fractal analysis of galaxy survey masks," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 128-137.
    2. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.

  4. Moura, N.J. & Ribeiro, Marcelo B., 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2088-2103.
    See citations under working paper version above.
  5. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.
    See citations under working paper version above.
  6. N. J. Moura & M. B. Ribeiro, 2009. "Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(1), pages 101-120, January.
    See citations under working paper version above.
  7. Moura, Newton J. & Ribeiro, Marcelo B., 2006. "Zipf law for Brazilian cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 441-448.

    Cited by:

    1. Kaichun Zhou & Anzhou Fu & Can Xiao & Ping Tang & Junyi Zhang & Binggeng Xie, 2023. "Understanding Idle Land Using Local Environmental Characteristics: A Case Study of Liuyang, China," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    2. Jorge Díaz-Lanchas & Carlos Llano & Asier Minondo & Francisco Requena, 2018. "Cities export specialization," Applied Economics Letters, Taylor & Francis Journals, vol. 25(1), pages 38-42, January.
    3. Heitor Reis, A., 2008. "Constructal view of the scaling laws of street networks — the dynamics behind geometry," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 617-622.
    4. Chen, Yanguang, 2012. "The rank-size scaling law and entropy-maximizing principle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 767-778.
    5. Nikolay K. Vitanov & Marcel Ausloos, 2015. "Test of two hypotheses explaining the size of populations in a system of cities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2686-2693, December.
    6. Kwong, Hok Shing & Nadarajah, Saralees, 2019. "A note on “Pareto tails and lognormal body of US cities size distribution”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 55-62.
    7. Simos Meintanis, 2009. "A unified approach of testing for discrete and continuous Pareto laws," Statistical Papers, Springer, vol. 50(3), pages 569-580, June.
    8. Sarabia, José María & Prieto, Faustino, 2009. "The Pareto-positive stable distribution: A new descriptive model for city size data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4179-4191.
    9. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.
    10. Chen, Yanguang & Wang, Jiejing, 2014. "Recursive subdivision of urban space and Zipf’s law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 392-404.
    11. Fernández-Rosales, Iván Yair & Angulo-Brown, Fernando & Pérez-Campuzano, Enrique & Guzmán-Vargas, Lev, 2020. "Distance distributions of human settlements," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    12. Valente J. Matlaba & Mark J. Holmes & Philip McCann & Jacques Poot, 2013. "A Century Of The Evolution Of The Urban System In Brazil," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 129-151, November.
    13. Arshad, Sidra & Hu, Shougeng & Ashraf, Badar Nadeem, 2019. "Zipf’s law, the coherence of the urban system and city size distribution: Evidence from Pakistan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 87-103.
    14. Asif, Muhammad & Hussain, Zawar & Asghar, Zahid & Hussain, Muhammad Irfan & Raftab, Mariya & Shah, Said Farooq & Khan, Akbar Ali, 2021. "A statistical evidence of power law distribution in the upper tail of world billionaires’ data 2010–20," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    15. Lang, Wei & Long, Ying & Chen, Tingting & Li, Xun, 2019. "Reinvestigating China’s urbanization through the lens of allometric scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1429-1439.
    16. Yang Li & Hua Shao & Nan Jiang & Ge Shi & Xin Cheng, 2018. "The Evolution of the Urban Spatial Pattern in the Yangtze River Economic Belt: Based on Multi-Source Remote Sensing Data," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    17. Rusanovskiy, Viktor (Русановский, Виктор) & Markov, Vladimir (Марков, Владимир) & Brovkova, Anna (Бровкова, Анна), 2018. "Modeling the Effects of Spatial Localization in Urban Agglomerations of Russia [Моделирование Эффекта Пространственной Локализации В Городских Агломерациях России]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, December.
    18. Kii, Masanobu & Akimoto, Keigo & Doi, Kenji, 2012. "Random-growth urban model with geographical fitness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 5960-5970.
    19. Calderín-Ojeda, Enrique, 2016. "The distribution of all French communes: A composite parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 385-394.
    20. Hasan Engin Duran & Andrzej Cieślik, 2021. "The distribution of city sizes in Turkey: A failure of Zipf’s law due to concavity," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1702-1719, October.
    21. Huimin Xu & Shougeng Hu & Xi Li, 2023. "Urban Distribution and Evolution of the Yangtze River Economic Belt from the Perspectives of Urban Area and Night-Time Light," Land, MDPI, vol. 12(2), pages 1-21, January.
    22. Gómez-Déniz, Emilio & Calderín-Ojeda, Enrique, 2015. "On the use of the Pareto ArcTan distribution for describing city size in Australia and New Zealand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 821-832.

Books

  1. Ribeiro,Marcelo Byrro, 2020. "Income Distribution Dynamics of Economic Systems," Cambridge Books, Cambridge University Press, number 9781107092532, September.

    Cited by:

    1. John Angle, 2023. "Generalizing the Inequality Process’ gamma model of particle wealth statistics," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 47(3), pages 227-243, July.
    2. Peng Liu & Yanyan Zheng, 2022. "Precision measurement of the return distribution property of the Chinese stock market index," Papers 2209.08521, arXiv.org, revised Nov 2023.
    3. Danial Ludwig & Victor M. Yakovenko, 2021. "Physics-inspired analysis of the two-class income distribution in the USA in 1983-2018," Papers 2110.03140, arXiv.org, revised Jan 2022.
    4. Jean-Philippe Bouchaud, 2020. "How Much Income Inequality Is Too Much?," Papers 2004.09835, arXiv.org.
    5. Liu, Peng & Zheng, Yanyan, 2022. "Temporal and spatial evolution of the distribution related to the number of COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    6. Takeshi Kato, 2022. "Wealth Redistribution and Mutual Aid: Comparison using Equivalent/Nonequivalent Exchange Models of Econophysics," Papers 2301.00091, arXiv.org.
    7. Joseph, Bijin & Chakrabarti, Bikas K., 2022. "Variation of Gini and Kolkata indices with saving propensity in the Kinetic Exchange model of wealth distribution: An analytical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    8. Kerim Eser Afc{s}ar & Mehmet Ozyi~git & Yusuf Yuksel & Umit Ak{i}nc{i}, 2021. "Testing the Goodwin Growth Cycles with Econophysics Approach in 2002-2019 Period in Turkey," Papers 2106.02546, arXiv.org.
    9. Florent McIsaac, 2021. "Testing Goodwin with a stochastic differential approach—The United States (1948–2019)," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 696-730, November.

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-ECM: Econometrics (1) 2017-07-09
  2. NEP-LAM: Central and South America (1) 2013-01-19

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