IDEAS home Printed from https://ideas.repec.org/r/hal/wpaper/halshs-01115996.html
   My bibliography  Save this item

Statistical Methods for Distributional Analysis

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Marco Ranaldi, 2017. "Income-Factor Polarization: A Methodological Approach," Documents de travail du Centre d'Economie de la Sorbonne 17054, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  2. Coimbra, Nuno & Kim, Daisoon & Rey, Hélène, 2022. "Central Bank Policy and the concentration of risk: Empirical estimates," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 182-198.
  3. Arthur Charpentier & Emmanuel Flachaire, 2022. "Pareto models for top incomes and wealth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 1-25, March.
  4. Ignacio González García & Alfonso Mateos Caballero, 2021. "Models of Wealth and Inequality Using Fiscal Microdata: Distribution in Spain from 2015 to 2020," Mathematics, MDPI, vol. 9(4), pages 1-24, February.
  5. Gordon Anderson & Maria Grazia Pittau & Roberto Zelli & Jasmin Thomas, 2018. "Income Inequality, Cohesiveness and Commonality in the Euro Area: A Semi-Parametric Boundary-Free Analysis," Econometrics, MDPI, vol. 6(2), pages 1-20, March.
  6. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
  7. Engelhardt, Carina & Wagener, Andreas, 2017. "The income distribution of voters: a case study from Germany," Hannover Economic Papers (HEP) dp-586, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  8. Gabriel Burdín & Mauricio de Rosa & Andrea Vigorito & Joan Vilá, 2019. "Was falling inequality in all Latin American countries a data-driven illusion? Income distribution and mobility patterns in Uruguay 2009-2016," Documentos de Trabajo (working papers) 19-30, Instituto de Economía - IECON.
  9. Emmanuel Flachaire & Nora Lustig & Andrea Vigorito, 2023. "Underreporting of Top Incomes and Inequality: A Comparison of Correction Methods using Simulations and Linked Survey and Tax Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 1033-1059, December.
  10. Sean Higgins & Nora Lustig & Andrea Vigorito, 2018. "The rich underreport their income: Assessing bias in inequality estimates and correction methods using linked survey and tax data," Working Papers 475, ECINEQ, Society for the Study of Economic Inequality.
  11. Ramses Abul Naga & Christopher Stapenhurst & Gaston Yalonetzky, 2020. "Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function," Econometrics, MDPI, vol. 8(1), pages 1-15, February.
  12. Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.
  13. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
  14. Koen Decancq, 2020. "Measuring cumulative deprivation and affluence based on the diagonal dependence diagram," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 103-117, August.
  15. 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).
  16. Javier Alejo & Gabriel Montes-Rojas & Walter Sosa-Escudero, 2023. "RIF regression via sensitivity curves," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 329-345, March.
  17. Oancea, Bogdan & Andrei, Tudorel & Pirjol, Dan, 2017. "Income inequality in Romania: The exponential-Pareto distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 486-498.
  18. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
  19. Nora Lustig, 2018. "Measuring the Distribution of Household Income, Consumption and Wealth: State of Play and Measurement Challenges," Working Papers 1801, Tulane University, Department of Economics.
  20. Fischer, Thomas & Lundtofte, Frederik, 2020. "Unequal returns: Using the Atkinson index to measure financial risk," Journal of Banking & Finance, Elsevier, vol. 116(C).
  21. Stéphane Guerrier & Samuel Orso & Maria-Pia Victoria-Feser, 2018. "Parametric Inference for Index Functionals," Econometrics, MDPI, vol. 6(2), pages 1-11, April.
  22. Nie, Peng & Ding, Lanlin & Sousa-Poza, Alfonso, 2019. "Obesity inequality and the changing shape of the bodyweight distribution in China," China Economic Review, Elsevier, vol. 58(C).
  23. Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2021. "The regional transmission of uncertainty shocks on income inequality in the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 887-900.
  24. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
  25. Mendez Ramos,Fabian, 2019. "Uncertainty in Ex-Ante Poverty and Income Distribution : Insights from Output Growth and Natural Resource Country Typologies," Policy Research Working Paper Series 8841, The World Bank.
  26. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
  27. Winter, Simon & Schlesewsky, Lisa, 2019. "The German feed-in tariff revisited - an empirical investigation on its distributional effects," Energy Policy, Elsevier, vol. 132(C), pages 344-356.
  28. Yuko Akune & Nobuhiro Hosoe, 2021. "Microdata analysis of Japanese farmers’ productivity: Estimating farm heterogeneity and elasticity of substitution among varieties," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 633-644, July.
  29. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "A robust semi-parametric approach for measuring income inequality in Malaysia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1-13.
  30. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
  31. Francesco Andreoli & Claudio Zoli, 2020. "From unidimensional to multidimensional inequality: a review," METRON, Springer;Sapienza Università di Roma, vol. 78(1), pages 5-42, April.
  32. Nartikoev, Alan & Peresetsky, Anatoly, 2020. "Эндогенная Классификация Домохозяйств В Регионах России [Endogenous household classification: Russian regions]," MPRA Paper 104351, University Library of Munich, Germany.
  33. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
  34. Marco Ranaldi, 2017. "Income-Factor Polarization: A Methodological Approach," Post-Print halshs-01660913, HAL.
  35. Bogdan Oancea & Dan Pirjol, 2019. "Extremal properties of the Theil and Gini measures of inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 859-869, March.
  36. Burdín, Gabriel & De Rosa, Mauricio & Vigorito, Andrea & Vilá, Joan, 2022. "Falling inequality and the growing capital income share: Reconciling divergent trends in survey and tax data," World Development, Elsevier, vol. 152(C).
  37. Sean Higgins & Nora Lustig & Andrea Vigorito, 2018. "The Rich Underreport Their Income: Assessing Biases In Inequality Estimates And Correction Methods Using Linked Survey And Tax Data," Commitment to Equity (CEQ) Working Paper Series 70, Tulane University, Department of Economics.
  38. Marco Ranaldi, 2017. "Income-Factor Polarization: A Methodological Approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01660913, HAL.
  39. Karina Doorley & Tim Callan & Michael Savage, 2021. "What drove income inequality in EU crisis countries during the Great Recession?," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 319-343, June.
  40. Irwan Susanto & Nur Iriawan & Heri Kuswanto, 2022. "On the Bayesian Mixture of Generalized Linear Models with Gamma-Distributed Responses," Econometrics, MDPI, vol. 10(4), pages 1-28, October.
  41. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
  42. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf & Abdallah Zalghout, 2020. "Identification-Robust Inequality Analysis," Cahiers de recherche 03-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  43. Wołoszyn, Andrzej & Wysocki, Feliks, 2020. "Income Inequality Of Polish Rural And Urban Households In 2010-2017," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2020(1).
  44. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.