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Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents

Citations

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Cited by:

  1. Paulo Bastos & Daniel A. Dias & Olga A. Timoshenko, 2018. "Learning, prices and firm dynamics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(4), pages 1257-1311, November.
  2. M. Modica & A. Reggiani & P. Nijkamp, 2015. "A Comparative Analysis of Gibrat s and Zipf s Law on Urban Population," Working Papers wp1008, Dipartimento Scienze Economiche, Universita' di Bologna.
  3. Vasco M. Carvalho & Basile Grassi, 2019. "Large Firm Dynamics and the Business Cycle," American Economic Review, American Economic Association, vol. 109(4), pages 1375-1425, April.
  4. Ghinami, Francesca, 2023. "Effects of remote work on population distribution across cities: US evidence from a QSE model," SocArXiv krnzq, Center for Open Science.
  5. Luis Garicano & Claire Lelarge & John Van Reenen, 2016. "Firm Size Distortions and the Productivity Distribution: Evidence from France," American Economic Review, American Economic Association, vol. 106(11), pages 3439-3479, November.
  6. Rafael González‐Val, 2019. "Historical urban growth in Europe (1300–1800)," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 1115-1136, April.
  7. Wolfgang Keller & Stephen Ross Yeaple, 2013. "The Gravity of Knowledge," American Economic Review, American Economic Association, vol. 103(4), pages 1414-1444, June.
  8. Qingnan Xie & Richard B. Freeman, 2020. "The Contribution of Chinese Diaspora Researchers to Global Science and China's Catching Up in Scientific Research," NBER Working Papers 27169, National Bureau of Economic Research, Inc.
  9. Ernesto Pasten & Raphael Schoenle & Michael Weber, 2017. "Price Rigidity and the Origins of Aggregate Fluctuations," NBER Working Papers 23750, National Bureau of Economic Research, Inc.
  10. Auray, Stéphane & Eyquem, Aurélien & Jouneau-Sion, Frédéric, 2014. "Modeling tails of aggregate economic processes in a stochastic growth model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 76-94.
  11. Schmidheiny, Kurt & Suedekum, Jens, 2015. "The pan-European population distribution across consistently defined functional urban areas," Economics Letters, Elsevier, vol. 133(C), pages 10-13.
  12. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).
  13. Franziska Bremus & Claudia M. Buch & Katheryn N. Russ & Monika Schnitzer, 2018. "Big Banks and Macroeconomic Outcomes: Theory and Cross‐Country Evidence of Granularity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1785-1825, December.
  14. Jakob Kapeller & Rafael Wildauer, 2019. "A Comment on Fitting Pareto Tails to Complex Survey Data," ICAE Working Papers 102, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
  15. Rafael González-Val, 2021. "The Spanish spatial city size distribution," Environment and Planning B, , vol. 48(6), pages 1609-1631, July.
  16. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
  17. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
  18. de Bellefon, Marie-Pierre & Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Gorin, Clément, 2021. "Delineating urban areas using building density," Journal of Urban Economics, Elsevier, vol. 125(C).
  19. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
  20. Nikolay Chernyshev, 2018. "From Productivity Shifts to Economic Growth: Intersectoral Linkage as an Amplifying Factor," CDMA Working Paper Series 201801, Centre for Dynamic Macroeconomic Analysis.
  21. Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2017. "Price Rigidities and the Granular Origins of Aggregate Fluctuations," CESifo Working Paper Series 6619, CESifo.
  22. Behrens, Kristian & Mion, Giordano & Murata, Yasusada & Suedekum, Jens, 2017. "Spatial frictions," Journal of Urban Economics, Elsevier, vol. 97(C), pages 40-70.
  23. Pesaran, M. Hashem & Yang, Cynthia Fan, 2020. "Econometric analysis of production networks with dominant units," Journal of Econometrics, Elsevier, vol. 219(2), pages 507-541.
  24. Xavier Gabaix & Augustin Landier & Julien Sauvagnat, 2014. "CEO Pay and Firm Size: An Update After the Crisis," Economic Journal, Royal Economic Society, vol. 124(574), pages 40-59, February.
  25. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2017. "Price rigidities and the granular origins of aggregate fluctuations," Working Paper Series 2102, European Central Bank.
  26. Mary Amiti & Oleg Itskhoki & Jozef Konings, 2016. "International Shocks and Domestic Prices: How Large Are Strategic Complementarities?," NBER Working Papers 22119, National Bureau of Economic Research, Inc.
  27. J. Paul Dunne & Ron P. Smith, 2016. "The evolution of concentration in the arms market," Economics of Peace and Security Journal, EPS Publishing, vol. 11(1), pages 12-17, April.
  28. Kristian GIESEN & Jens SÜDEKUM, 2012. "The French Overall City Size Distribution," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 107-126.
  29. Marat Ibragimov & Rustam Ibragimov, 2018. "Heavy tails and upper-tail inequality: The case of Russia," Empirical Economics, Springer, vol. 54(2), pages 823-837, March.
  30. Giulio Bottazzi & Davide Pirino & Federico Tamagni, 2015. "Zipf law and the firm size distribution: a critical discussion of popular estimators," Journal of Evolutionary Economics, Springer, vol. 25(3), pages 585-610, July.
  31. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
  32. Chauvin, Juan Pablo & Glaeser, Edward & Ma, Yueran & Tobio, Kristina, 2017. "What is different about urbanization in rich and poor countries? Cities in Brazil, China, India and the United States," Journal of Urban Economics, Elsevier, vol. 98(C), pages 17-49.
  33. Igor Fedotenkov, 2020. "A Review of More than One Hundred Pareto-Tail Index Estimators," Statistica, Department of Statistics, University of Bologna, vol. 80(3), pages 245-299.
  34. Gilles Dufrénot & Anne-Charlotte Paret-Onorato, 2016. "Power-Law Distribution in the Debt-to-Fiscal Revenue Ratio: Empirical Evidence and a Theoretical Model," Working Papers halshs-01357797, HAL.
  35. Segarra, Agustí & Teruel, Mercedes, 2012. "An appraisal of firm size distribution: Does sample size matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 314-328.
  36. Jean-François Arvis & Ben Shepherd, 2016. "Measuring Connectivity in a Globally Networked Industry: The Case of Air Transport," The World Economy, Wiley Blackwell, vol. 39(3), pages 369-385, March.
  37. Gilles Duranton & Diego Puga, 2023. "Urban Growth and Its Aggregate Implications," Econometrica, Econometric Society, vol. 91(6), pages 2219-2259, November.
  38. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
  39. Rafael González-Val & Daniel A. Tirado-Fabregat & Elisabet Viladecans-Marsal, 2017. "Market potential and city growth: Spain 1860–1960," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 11(1), pages 31-61, January.
  40. Erick Sager & Olga A. Timoshenko, 2019. "The double EMG distribution and trade elasticities," Canadian Journal of Economics, Canadian Economics Association, vol. 52(4), pages 1523-1557, November.
  41. Andrew Balthrop, 2016. "Power laws in oil and natural gas production," Empirical Economics, Springer, vol. 51(4), pages 1521-1539, December.
  42. Markus Ibert & Ron Kaniel & Stijn Van Nieuwerburgh & Roine Vestman, 2018. "Are Mutual Fund Managers Paid for Investment Skill?," The Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 715-772.
  43. Lee, Charles M.C. & Ma, Paul & Wang, Charles C.Y., 2015. "Search-based peer firms: Aggregating investor perceptions through internet co-searches," Journal of Financial Economics, Elsevier, vol. 116(2), pages 410-431.
  44. Rustam Ibragimov & Marat Ibragimov & Rufat Khamidov, 2010. "Measuring Inequality in CIS Countries: Theory and Empirics," wiiw Balkan Observatory Working Papers 88, The Vienna Institute for International Economic Studies, wiiw.
  45. Jean Imbs & Basile Grassi, 2015. "Why Do Risky Sectors Grow Fast?," 2015 Meeting Papers 449, Society for Economic Dynamics.
  46. Rafael González-Val, 2016. "War Size Distribution: Empirical Regularities Behind Conflicts," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(6), pages 838-853, November.
  47. Guohua Peng & Fan Xia, 2016. "The size distribution of exporting and non-exporting firms in a panel of Chinese provinces," Papers in Regional Science, Wiley Blackwell, vol. 95, pages 71-85, March.
  48. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
  49. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," Working Papers BAWP-2019-06, University of Sydney Business School, Discipline of Business Analytics.
  50. Sofie R. Waltl & Robin Chakraborty, 2022. "Missing the wealthy in the HFCS: micro problems with macro implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 169-203, March.
  51. Warusawitharana, Missaka, 2018. "Time-varying volatility and the power law distribution of stock returns," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 123-141.
  52. Asier Minondo, 2017. "Fundamental Versus Granular Comparative Advantage: An Analysis Using Chess Data," Kyklos, Wiley Blackwell, vol. 70(3), pages 425-455, August.
  53. Karlsson, Martin & Wang, Yulong & Ziebarth, Nicolas R., 2024. "Getting the right tail right: Modeling tails of health expenditure distributions," Journal of Health Economics, Elsevier, vol. 97(C).
  54. Ines Heck & Anna Hornykewycz & Jakob Kapeller & Rafael Wildauer, 2024. "Vermögensverteilung in Österreich: eine Analyse auf Basis des HFCS 2021/22," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 255, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
  55. Asier Minondo, 2016. "Fundamental comparative advantage versus random talent: An analysis using chess data," Working Papers 1605, Department of Applied Economics II, Universidad de Valencia.
  56. Rafael Gonz�lez-Val & Luis Lanaspa, 2016. "Patterns in US Urban Growth, 1790-2000," Regional Studies, Taylor & Francis Journals, vol. 50(2), pages 289-309, February.
  57. Pascoal, Rui & Augusto, Mário & Monteiro, A.M., 2016. "Size distribution of Portuguese firms between 2006 and 2012," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 342-355.
  58. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
  59. Ignacio Rosal, 2018. "Power laws in EU country exports," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 311-337, May.
  60. Giorgio Fazio & Marco Modica, 2015. "Pareto Or Log-Normal? Best Fit And Truncation In The Distribution Of All Cities," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 736-756, November.
  61. Ioannides, Yannis M. & Zhang, Junfu, 2017. "Walled cities in late imperial China," Journal of Urban Economics, Elsevier, vol. 97(C), pages 71-88.
  62. Behrens, Kristian & Robert-Nicoud, Frédéric, 2015. "Agglomeration Theory with Heterogeneous Agents," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 171-245, Elsevier.
  63. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
  64. Yves Dominicy & Pauliina Ilmonen & David Veredas, 2017. "Multivariate Hill Estimators," International Statistical Review, International Statistical Institute, vol. 85(1), pages 108-142, April.
  65. Ricardo T. Fernholz & Robert Fernholz, 2017. "Zipf's Law for Atlas Models," Papers 1707.04285, arXiv.org, revised Jun 2020.
  66. Matteo Neri-Lainé, 2024. "Firms under fire! How insecurity affects formal firms’ existence," Working Papers DT/2024/09, DIAL (Développement, Institutions et Mondialisation).
  67. Rafael González-Val, 2019. "US city-size distribution and space," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(3), pages 283-300, July.
  68. Pascoal, Rui & Augusto, Mário & Monteiro, A.M., 2016. "Size distribution of Portuguese firms between 2006 and 2012," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 342-355.
  69. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
  70. Kwok Tong Soo, 2018. "Innovation across cities," Journal of Regional Science, Wiley Blackwell, vol. 58(2), pages 295-314, March.
  71. Ramos, Arturo & Sanz-Gracia, Fernando & González-Val, Rafael, 2013. "A new framework for the US city size distribution: Empirical evidence and theory," MPRA Paper 52190, University Library of Munich, Germany.
  72. Rolf Bergs, 2018. "The detection of natural cities in the Netherlands—Nocturnal satellite imagery and Zipf’s law [Die Abgrenzung natürlicher Städte in den Niederlanden: Nachtsatellitenbilder und das Zipf-Gesetz]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 111-140, October.
  73. repec:wiw:wiwrsa:ersa14p34 is not listed on IDEAS
  74. di Giovanni, Julian & Levchenko, Andrei A., 2013. "Firm entry, trade, and welfare in Zipf's world," Journal of International Economics, Elsevier, vol. 89(2), pages 283-296.
  75. Juan Lucio & Raúl Mínguez & Asier Minondo & Francisco Requena, 2017. "The granularity of Spanish exports," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 8(3), pages 225-259, August.
  76. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2017. "Where Gibrat meets Zipf: Scale and scope of French firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 265-275.
  77. 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.
  78. Cirillo, Pasquale, 2013. "Are your data really Pareto distributed?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5947-5962.
  79. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
  80. Arribas-Bel, Daniel & Garcia-López, M.-À. & Viladecans-Marsal, Elisabet, 2021. "Building(s and) cities: Delineating urban areas with a machine learning algorithm," Journal of Urban Economics, Elsevier, vol. 125(C).
  81. Pérez Valbuena, Gerson Javier & Meisel Roca, Adolfo, 2014. "Ley De Zipf Y De Gibrat Para Colombia Y Sus Regiones: 1835-2005," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 32(2), pages 247-286, September.
  82. 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.
  83. 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.
  84. D. Kh. Krasnoselskaya & V. M. Timiryanova, 2024. "Assessment of Regional Polycentricity of the Settlement Pattern: Analysis of Modern Methods Based on Russian Data," Regional Research of Russia, Springer, vol. 14(2), pages 194-212, June.
  85. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
  86. repec:zbw:bofrdp:2018_003 is not listed on IDEAS
  87. Fernando Rubiera-Morollón & Ignacio del Rosal & Alberto Díaz-Dapena, 2015. "Can large cities explain the aggregate movements of economies? Testing the ‘granular hypothesis’ for US counties," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 109-118, July.
  88. Chen, Yanguang, 2016. "The evolution of Zipf’s law indicative of city development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 555-567.
  89. Junho Na & Jeong-dong Lee & Chulwoo Baek, 2017. "Is the service sector different in size heterogeneity?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 95-120, April.
  90. Gilberto Seravalli, 2016. "Dimensioni e crescita delle citt? in Europa: l?incertezza danneggia soprattutto le citt? medie," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2016(2), pages 91-108.
  91. Thiago Trafane Oliveira Santos & Daniel Oliveira Cajueiro, 2024. "Why you should also use OLS estimation of tail exponents," Papers 2409.10448, arXiv.org, revised Sep 2024.
  92. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.
  93. M. Caivano & A. Harvey, 2013. "Two EGARCH models and one fat tail," Cambridge Working Papers in Economics 1326, Faculty of Economics, University of Cambridge.
  94. Svetlana Popova, 2019. "Idiosyncratic shocks: estimation and the impact on aggregate fluctuations," Bank of Russia Working Paper Series wps46, Bank of Russia.
  95. León, Ángel & Ñíguez, Trino-Manuel, 2020. "Modeling asset returns under time-varying semi-nonparametric distributions," Journal of Banking & Finance, Elsevier, vol. 118(C).
  96. Schmeiser, Steven, 2015. "The size distribution of websites," Economics Letters, Elsevier, vol. 128(C), pages 62-68.
  97. Thomas Lux, 2020. "On the distribution of links in financial networks: structural heterogeneity and functional form," Empirical Economics, Springer, vol. 58(3), pages 1019-1053, March.
  98. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.
  99. Sen, Hu & Chunxia, Yang & Xueshuai, Zhu & Zhilai, Zheng & Ya, Cao, 2015. "Distributions of region size and GDP and their relation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 46-56.
  100. Michał Brzeziński & Katarzyna Sałach & Marcin Wroński, 2020. "Wealth inequality in Central and Eastern Europe: Evidence from household survey and rich lists’ data combined," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 28(4), pages 637-660, October.
  101. Rafael GONZÀLEZ-VAL, 2012. "Zipf’S Law: Main Issues In Empirical Work," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 147-164.
  102. Kyung-Min Nam, 2017. "Is spatial distribution of China’s population excessively unequal? A cross-country comparison," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 453-474, September.
  103. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2013. "The size distribution of US cities: Not Pareto, even in the tail," Economics Letters, Elsevier, vol. 120(2), pages 232-237.
  104. Emil Siriwardane, 2014. "Using proprietary credit default swap (CDS) data from 2010 to 2014, I show that capital fluctuations for sellers of CDS protection are an important determinant of CDS spread movements. I first establi," Working Papers 14-10, Office of Financial Research, US Department of the Treasury, revised 12 Feb 2015.
  105. Fadinger, Harald & Ghiglino, Christian & Teteryatnikova, Mariya, 2015. "Income differences and input-output structure," Working Papers 15-11, University of Mannheim, Department of Economics.
  106. Joachim Wagner, 2012. "The German manufacturing sector is a granular economy," Applied Economics Letters, Taylor & Francis Journals, vol. 19(17), pages 1663-1665.
  107. Blanco-Arroyo, Omar & Ruiz-Buforn, Alba & Vidal-Tomás, David & Alfarano, Simone, 2019. "Empresas granulares y desagregación regional: un análisis del caso español [Granular firms and regional disaggregation: an analysis of the Spanish case]," MPRA Paper 93913, University Library of Munich, Germany.
  108. Bremus, Franziska & Krause, Thomas & Noth, Felix, 2017. "Bank-specific shocks and house price growth in the U.S," IWH Discussion Papers 3/2017, Halle Institute for Economic Research (IWH).
  109. Marco Modica, 2014. "Does the EU have homogeneous urban structure area? The role of agglomeration and the impact of shocks on urban structure," ERSA conference papers ersa14p229, European Regional Science Association.
  110. Alexandra SCHAFFAR, 2012. "La Loi De Zipf Sous Le Prisme De L’Auto-Correlation Spatiale - Les Cas De La Chine Et De L’Inde," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 189-204.
  111. Marco Bee, 2024. "On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 18(2), pages 251-269, June.
  112. repec:wyi:journl:002175 is not listed on IDEAS
  113. Suresh Naidu, 2012. "Suffrage, Schooling, and Sorting in the Post-Bellum U.S. South," NBER Working Papers 18129, National Bureau of Economic Research, Inc.
  114. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
  115. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
  116. Halvarsson, Daniel, 2013. "Industry Differences in the Firm Size Distribution," Ratio Working Papers 214, The Ratio Institute.
  117. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
  118. Samuel Bazzi, 2017. "Wealth Heterogeneity and the Income Elasticity of Migration," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 219-255, April.
  119. Marc N. Conte & David L. Kelly, 2016. "An Imperfect Storm: Fat-Tailed Hurricane Damages, Insurance and Climate Policy," Working Papers 2016-01, University of Miami, Department of Economics.
  120. Conte, Marc N. & Kelly, David L., 2018. "An imperfect storm: Fat-tailed tropical cyclone damages, insurance, and climate policy," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 677-706.
  121. Dewitte, Ruben, 2020. "From Heavy-Tailed Micro to Macro: on the characterization of firm-level heterogeneity and its aggregation properties," MPRA Paper 103170, University Library of Munich, Germany.
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