IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for "New evidence for the power-law distribution of wealth"

by Levy, Moshe & Solomon, Sorin

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Philip Hans Franses & Stephanie Vermeer, 2012. "Inequality amongst the wealthiest and its link with economic growth," Applied Economics, Taylor & Francis Journals, vol. 44(22), pages 2851-2858, August.
  2. Bo Becker & Henrik Cronqvist & Rüdiger Fahlenbrach, 2009. "Estimating the Effects of Large Shareholders Using a Geographic Instrument," Harvard Business School Working Papers 10-028, Harvard Business School, revised Feb 2010.
  3. Levy, Moshe, 2003. "Are rich people smarter?," Journal of Economic Theory, Elsevier, vol. 110(1), pages 42-64, May.
  4. Rama CONT & Jean-Philippe BOUCHAUD, 1997. "Herd behavior and aggregate fluctuations in financial markets," Finance 9712008, EconWPA, revised 30 Dec 1997.
  5. Iori, Giulia, 2002. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 269-285, October.
  6. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
  7. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.
  8. Matteo Rizzolli & Margherita Saraceno, 2009. "Better that X guilty persons escape than that one innocent suffer," Working Papers 168, University of Milano-Bicocca, Department of Economics, revised Jul 2009.
  9. Michal Brzezinski, 2013. "Do wealth distributions follow power laws? Evidence from "rich lists"," Papers 1304.0212, arXiv.org.
  10. Patriarca, Marco & Chakraborti, Anirban & Germano, Guido, 2006. "Influence of saving propensity on the power-law tail of the wealth distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 723-736.
  11. Nicolò Pecora & Alessandro Spelta, 2014. "Shareholding Network in the Euro Area Banking Market," DISCE - Working Papers del Dipartimento di Economia e Finanza def014, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  12. Luisanna Cocco & Giulio Concas & Michele Marchesi, 2014. "Using an Artificial Financial Market for studying a Cryptocurrency Market," Papers 1406.6496, arXiv.org.
  13. Castaldi, Carolina & Milakovic, Mishael, 2007. "Turnover activity in wealth portfolios," Journal of Economic Behavior & Organization, Elsevier, vol. 63(3), pages 537-552, July.
  14. Rama Cont & Jean-Philippe Bouchaud, 1997. "Herd behavior and aggregate fluctuations in financial markets," Papers cond-mat/9712318, arXiv.org, revised Jan 1998.
  15. repec:ctc:serie1:def14 is not listed on IDEAS
  16. Pierpaolo Andriani & Bill McKelvey, 2006. "Beyond Gaussian Averages: Redirecting Management Research Toward Extreme Events and Power Laws," Working Papers 2006_03, Durham University Business School.
  17. Lux, Thomas, 2007. "Applications of statistical physics in finance and economics," Economics Working Papers 2007,05, Christian-Albrechts-University of Kiel, Department of Economics.
  18. Ricardo Lopez-Ruiz & Elyas Shivanian & Jose-Luis Lopez, 2013. "Random Market Models with an H-Theorem," Papers 1307.2169, arXiv.org, revised Jul 2014.
  19. Rosser Jr., J. Barkley, 2010. "Is a transdisciplinary perspective on economic complexity possible?," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 3-11, July.
  20. Thomas Lux, 2006. "Applications of Statistical Physics in Finance and Economics," Working Papers wpn06-07, Warwick Business School, Finance Group.
  21. Vermeulen, Philip, 2014. "How fat is the top tail of the wealth distribution?," Working Paper Series 1692, European Central Bank.
  22. Jess Benhabib & Shenghao Zhu, 2008. "Age, Luck, and Inheritance," NBER Working Papers 14128, National Bureau of Economic Research, Inc.
  23. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy.
  24. Arnab Chatterjee & Bikas K Chakrabarti, 2005. "Ideal-Gas Like Markets: Effect of Savings," Papers physics/0507136, arXiv.org, revised Jul 2005.
  25. Chakrabarti, Anindya S. & Chakrabarti, Bikas K., 2010. "Statistical theories of income and wealth distribution," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 4, pages 1-31.
  26. Pierpaolo Andriani & Bill McKelvey, 2007. "Beyond Gaussian averages: redirecting international business and management research toward extreme events and power laws," Journal of International Business Studies, Palgrave Macmillan, vol. 38(7), pages 1212-1230, December.
  27. Ren, F. & Zhang, Y.C., 2008. "Trading model with pair pattern strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5523-5534.
  28. Sebastian Guala, 2009. "Taxes in a Wealth Distribution Model by Inelastically Scattering of Particles," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 7(1), pages 1-7.
  29. Klass, Oren S. & Biham, Ofer & Levy, Moshe & Malcai, Ofer & Solomon, Sorin, 2006. "The Forbes 400 and the Pareto wealth distribution," Economics Letters, Elsevier, vol. 90(2), pages 290-295, February.
  30. Ari Belenkiy, 2001. "Inner Market as a "Black Box"," Papers cond-mat/0106401, arXiv.org.
  31. Ogwang, Tomson, 2013. "Is the wealth of the world’s billionaires Paretian?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 757-762.
  32. Rama Cont & Jean-Philippe Bouchaud, 1997. "Herd behavior and aggregate fluctuations in financial markets," Science & Finance (CFM) working paper archive 500028, Science & Finance, Capital Fund Management.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.