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Gibrat's Law for (All) Cities: Comment

Citations

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Cited by:

  1. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 695-710, July.
  2. Rafael González‐Val, 2019. "Historical urban growth in Europe (1300–1800)," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 1115-1136, April.
  3. Luckstead, Jeff & Devadoss, Stephen, 2014. "Do the world’s largest cities follow Zipf’s and Gibrat’s laws?," Economics Letters, Elsevier, vol. 125(2), pages 182-186.
  4. Ronan Lyons & Elisa Maria Tirindelli, 2022. "The Rise & Fall of Urban Concentration in Britain: Zipf, Gibrat and Gini across two centuries," Trinity Economics Papers tep0522, Trinity College Dublin, Department of Economics.
  5. Giesen, Kristian & Suedekum, Jens, 2012. "The size distribution across all "Cities": a unifying approach," LSE Research Online Documents on Economics 59252, London School of Economics and Political Science, LSE Library.
  6. Rafael Gonz�lez-Val & Arturo Ramos & Fernando Sanz-Gracia, 2013. "The accuracy of graphs to describe size distributions," Applied Economics Letters, Taylor & Francis Journals, vol. 20(17), pages 1580-1585, November.
  7. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
  8. Rafael González-Val & Luis Lanaspa & Fernando Sanz-Gracia, 2014. "New Evidence on Gibrat’s Law for Cities," Urban Studies, Urban Studies Journal Limited, vol. 51(1), pages 93-115, January.
  9. Galdo, Virgilio & Li, Yue & Rama, Martin, 2021. "Identifying urban areas by combining human judgment and machine learning: An application to India," Journal of Urban Economics, Elsevier, vol. 125(C).
  10. Nigai, Sergey, 2017. "A tale of two tails: Productivity distribution and the gains from trade," Journal of International Economics, Elsevier, vol. 104(C), pages 44-62.
  11. Christian Schluter, 2021. "On Zipf’s law and the bias of Zipf regressions," Empirical Economics, Springer, vol. 61(2), pages 529-548, August.
  12. Daniel Broxterman & Anthony Yezer, 2021. "Human capital divergence and the size distribution of cities: Is Gibrat’s law obsolete?," Urban Studies, Urban Studies Journal Limited, vol. 58(12), pages 2549-2568, September.
  13. Lee, Sanghoon & Li, Qiang, 2013. "Uneven landscapes and city size distributions," Journal of Urban Economics, Elsevier, vol. 78(C), pages 19-29.
  14. Angelina Hackmann & Torben Klarl, 2020. "The evolution of Zipf's Law for U.S. cities," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 841-852, June.
  15. Aurélie Lalanne, 2014. "Zipf’s Law and Canadian Urban Growth," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1725-1740, June.
  16. Şeker, Murat & Ulu, Mehmet Fatih & Rodriguez-Delgado, Jose Daniel, 2024. "Imported intermediate goods and product innovation," Journal of International Economics, Elsevier, vol. 150(C).
  17. Huang, Siyu & Shi, Yi & Chen, Qinghua & Li, Xiaomeng, 2022. "The growth path of high-tech industries: Statistical laws and evolution demands," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
  18. Ruben Dewitte & Michel Dumont & Glenn Rayp & Peter Willemé, 2022. "Unobserved heterogeneity in the productivity distribution and gains from trade," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(3), pages 1566-1597, August.
  19. Gualandi, Stefano & Toscani, Giuseppe, 2019. "Size distribution of cities: A kinetic explanation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 221-234.
  20. Giesen, Kristian & Suedekum, Jens, 2014. "City age and city size," European Economic Review, Elsevier, vol. 71(C), pages 193-208.
  21. Deng, Zhongqi & Qin, Ming & Song, Shunfeng, 2020. "Re-study on Chinese city size and policy formation," China Economic Review, Elsevier, vol. 60(C).
  22. Gaujal, Bruno & Gulyas, Laszlo & Mansury, Yuri & Thierry, Eric, 2014. "Validating an agent-based model of the Zipf׳s Law: A discrete Markov-chain approach," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 38-49.
  23. Rocco Rante & Federico Trionfetti & Priyam Verma, 2024. "The Size Distribution of Cities: Evidence from the Lab," Working Papers hal-04556678, HAL.
  24. Marco Bee, 2020. "On discriminating between lognormal and Pareto tail: A mixture-based approach," DEM Working Papers 2020/9, Department of Economics and Management.
  25. 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.
  26. Luckstead, Jeff & Devadoss, Stephen & Danforth, Diana, 2017. "The size distributions of all Indian cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 237-249.
  27. Ramos, Arturo, 2015. "Log-growth distributions of US city sizes and non-Lévy processes," MPRA Paper 66561, University Library of Munich, Germany.
  28. Sebastien TERRA, 2009. "Zipf's Law for Cities: On a New Testing Procedure," Working Papers 200920, CERDI.
  29. Rafael González-Val, 2019. "US city-size distribution and space," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(3), pages 283-300, July.
  30. Aurélie Lalanne & Shana Sundstrom & Ahjond Garmestani, 2023. "Discontinuous structure of regional and subregional urban systems: Nouvelle-Aquitaine, France (1800–2015)," Urban Studies, Urban Studies Journal Limited, vol. 60(5), pages 869-884, April.
  31. Jakub Growiec & Fabio Pammolli & Massimo Riccaboni, 2020. "Innovation and Corporate Dynamics: A Theoretical Framework," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(1), pages 1-45, March.
  32. Chan, Stephen & Chu, Jeffrey & Nadarajah, Saralees, 2017. "Is the wealth of the Forbes 400 lists really Pareto distributed?," Economics Letters, Elsevier, vol. 152(C), pages 9-14.
  33. Malevergne, Y. & Saichev, A. & Sornette, D., 2013. "Zipf's law and maximum sustainable growth," Journal of Economic Dynamics and Control, Elsevier, vol. 37(6), pages 1195-1212.
  34. 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.
  35. Campolieti, Michele, 2020. "The distribution of union size: Canada, 1913–2014," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
  36. 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.
  37. Ge Hong & Shouhong Xie & Hanbing Li, 2022. "Spatial and Temporal Evolution Characteristics of China’s City Size Distribution Based on New Criteria," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
  38. Giesen, Kristian & Zimmermann, Arndt & Suedekum, Jens, 2010. "The size distribution across all cities - Double Pareto lognormal strikes," Journal of Urban Economics, Elsevier, vol. 68(2), pages 129-137, September.
  39. 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.
  40. González-Val, Rafael & Lanaspa, Luis & Sanz, Fernando, 2008. "New Evidence on Gibrat’s Law for Cities," MPRA Paper 10411, University Library of Munich, Germany.
  41. Florian Ploeckl, 2017. "Towns (and villages): definitions and implications in a historical setting," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(2), pages 269-287, May.
  42. Enrique Calderín-Ojeda, 2018. "A Note on Parameter Estimation in the Composite Weibull–Pareto Distribution," Risks, MDPI, vol. 6(1), pages 1-8, February.
  43. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
  44. Tomaschitz, Roman, 2020. "Multiply broken power-law densities as survival functions: An alternative to Pareto and lognormal fits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
  45. Su, Hsuan-Li, 2020. "On the city size distribution: A finite mixture interpretation," Journal of Urban Economics, Elsevier, vol. 116(C).
  46. 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.
  47. González-Val, Rafael, 2018. "The spatial distribution of US cities," MPRA Paper 89586, University Library of Munich, Germany.
  48. Ramos, Arturo, 2015. "Are the log-growth rates of city sizes normally distributed? Empirical evidence for the US," MPRA Paper 65584, University Library of Munich, Germany.
  49. Konglin Zhu & Wenzhong Li & Xiaoming Fu & Jan Nagler, 2014. "How Do Online Social Networks Grow?," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.
  50. Ramos, Arturo & Sanz-Gracia, Fernando, 2015. "US city size distribution revisited: Theory and empirical evidence," MPRA Paper 64051, University Library of Munich, Germany.
  51. 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.
  52. 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.
  53. Inna Manaeva, 2019. "Distribution of Cities in Federal Districts of Russia: Testing of the Zipf Law," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 84-98.
  54. Andreev, Vsevolod & Lukiyanova, Violetta & Kadyshev, Evgenii, 2017. "Analysis of people territorial distribution in regions of the Volga Federal District on the base of Zipf and Gibrat laws," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 97-121.
  55. Xiaomeng Li & Hongbo Cai & Siyu Huang & Jiajun Ma & Qinghua Chen, 2022. "The universal pathway to commodity structure upgrading in global trade evolution," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 1047-1067, October.
  56. Fazio, Giorgio & Modica, Marco, 2012. "Pareto or log-normal? A recursive-truncation approach to the distribution of (all) cities," SIRE Discussion Papers 2012-54, Scottish Institute for Research in Economics (SIRE).
  57. Kristian Giesen & Jens Suedekum, 2012. "The Size Distribution across all "Cities": A Unifying Approach," CESifo Working Paper Series 3730, CESifo Group Munich.
  58. Devadoss, Stephen & Luckstead, Jeff, 2016. "Size distribution of U.S. lower tail cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 158-162.
  59. 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.
  60. Arturo, Ramos, 2019. "Have the log-population processes stationary and independent increments? Empirical evidence for Italy, Spain and the USA along more than a century," MPRA Paper 93562, University Library of Munich, Germany.
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