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Parametric representation of the top of income distributions: Options, historical evidence, and model selection. (2021). Hlasny, Vladimir.
In: Journal of Economic Surveys.
RePEc:bla:jecsur:v:35:y:2021:i:4:p:1217-1256.

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  10. Top Income Adjustments and Inequality: An Investigation of the EU-SILC. (2021). Nolan, Brian ; Carranza, Rafael ; Morgan, Marc.
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  12. Top Income Adjustments and Inequality: An Investigation of the EU-SILC. (2021). Nolan, Brian ; Carranza, Rafael ; Morgan, Marc.
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References

References cited by this document

  1. Abu‐Ismail, K., & Hlásny, V. (2020a). Wealth distribution and poverty impact of COVID‐19 in Lebanon. E/ESCWA/CL3. SEP/2020/TP.8. Beirut.
    Paper not yet in RePEc: Add citation now
  2. Abu‐Ismail, K., & Hlásny, V. (2020b). Wealth Inequality and Closing the Poverty Gap in Arab Countries: The Case for a Solidarity Wealth Tax. E/ESCWA/CL2.GPID/2020/TP.9. Beirut.
    Paper not yet in RePEc: Add citation now
  3. Aitchison, J., & Brown, J. A. C. (1954). On criteria for descriptions of income distribution. Metroeconomica, 6, 88–98.
    Paper not yet in RePEc: Add citation now
  4. Aitchison, J., & Brown, J. A. C. (1957). The lognormal distribution. Cambridge: Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  5. Ammon, O. (1895). Die Gesellschaftsordnung und ihre natürlichen Grundlagen. Jena: Verlag von Gustav Fischer. Amoroso, L. (1925). Ricerche intorno alla curva dei rediti. Matematica Pura ed Applicata, 2(1), 123–159.
    Paper not yet in RePEc: Add citation now
  6. An, Di, & Little, R. J. A. (2007). Multiple imputation: An alternative to top coding for statistical disclosure control. Journal of the Royal Statistical Society A, 170, 923–940.

  7. Anand, S., & Segal, P. (2017). Who are the global top 1%? World Development, 95(C), 111–126.

  8. Arcagni, A., & Porro, F. (2013). On the parameters of Zenga distribution. Statistical Methods and Applications, 22, 285–303.

  9. Armour, P., Burkhauser, R. V., & Larrimore, J. (2016). Using the Pareto distribution to improve estimates of topcoded earnings. Economic Inquiry, 54(2), 1263–1273.

  10. Arnold, B. C. (2008). Pareto and generalized Pareto distributions. In D. Chotikapanich (ed), Modeling income distributions and Lorenz curves. New York: Springer Verlag.

  11. Arnold, B. C. (2015a). Pareto distribution. Wiley StatsRef: Statistics Reference Online, John Wiley & Sons. Retrieved from https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118445112.stat01100.pub2.
    Paper not yet in RePEc: Add citation now
  12. Arnold, B. C. (2015b). Pareto distributions (2nd edn.). Boca Raton, FL: CRC Press.
    Paper not yet in RePEc: Add citation now
  13. Arnold, B. C., & Laguna, L. (1977). On generalized Pareto distributions with applications to income data. International Studies in Economics, Monograph 10, Department of Economics, Iowa State University.
    Paper not yet in RePEc: Add citation now
  14. Arnold, B. C., Robertson, C. A., & Yeh, H.‐C. (1986). Some properties of a Pareto‐type distribution. Sankhyā: Indian Journal of Statistics—Series A, 48(3), 404–408.
    Paper not yet in RePEc: Add citation now
  15. Atkinson, A. B. (2017). Pareto and the upper tail of the income distribution in the UK: 1799 to the present. Economica, 84(334), 129–156.

  16. Atkinson, A. B., Piketty, T., & Saez, E. (2011). Top incomes in the long run of history. Journal of Economic Literature, 49, 3–71.

  17. Atoda, N., Suruga, T., & Tachibanaki, T. (1988). Statistical inference of functional forms for income distribution. Economic Studies Quarterly, 39(1), 14–40.
    Paper not yet in RePEc: Add citation now
  18. Balkema, A. A., & de Haan L. (1974). Residual life time at great age. Annals of Probability, 2, 792–804.
    Paper not yet in RePEc: Add citation now
  19. Bandourian, R., McDonald, J. B., & Turley, R. S. (2003). A comparison of parametric models of income distribution across countries and over time. Estadística, 55, 135–152.
    Paper not yet in RePEc: Add citation now
  20. Barndorff‐Nielsen, O. (1978). Hyperbolic distributions and distributions on hyperbolae. Scandinavian Journal of Statistics, 5(3), 151–157.
    Paper not yet in RePEc: Add citation now
  21. Barroso, F. J. C., García‐Pérez, C., & Prieto‐Alaiz, M. (2020). Modelling income distribution using the log Students t distribution: New evidence for European Union countries. Economic Modelling, 89, 512–522.
    Paper not yet in RePEc: Add citation now
  22. Bartels, C. P. A., & H. van Metelen (1975). Alternative probability density functions of income: A comparison of the lognormal, Gamma and Weibull distribution with Dutch data, mimeo, Vrije Universiteit Amsterdam.
    Paper not yet in RePEc: Add citation now
  23. Beirlant, J., Joossens, E., & Segers, J. (2009). Second‐order refined peaks‐over‐threshold modelling for heavy‐tailed distributions. Journal of Statistical Planning and Inference, 139, 2800–2815.
    Paper not yet in RePEc: Add citation now
  24. Benini, R. (1897). Di alcune curve descritte da fenomeni economici aventi relazione colla curva del reddito o con quella del patrimonio. Giornale degli Economisti, 14, 177–214.English translation in Rivista di Politica Economica 87:701–744, 1997.
    Paper not yet in RePEc: Add citation now
  25. Benini, R. (1905). I diagrammi a scala logaritmica (a proposito della graduazione per valore delle successioni ereditarie in Italia, Francia e Inghilterra). Giornale degli Economisti, 16, 222–231.
    Paper not yet in RePEc: Add citation now
  26. Benktander, G. (1970). Schadenverteilungen nach Grösse in der Nicht‐Lebensversicherung [Loss distributions by size in non‐life insurance]. Bulletin of the Swiss Association of Actuaries (in German), 263–283.
    Paper not yet in RePEc: Add citation now
  27. Bernstein, J., & Mishel, L. (1997). Has wage inequality stopped growing? Monthly Labor Review, 120(12), 3–16.
    Paper not yet in RePEc: Add citation now
  28. Biewen, M., & Jenkins, S. P. (2005). A framework for the decomposition of poverty differences with an application to poverty differences between countries. Empirical Economics, 30, 331–358.

  29. Blanchet, T., Flores, I., & Morgan, M. (2018a). The weight of the rich: Improving surveys using tax data. WID.world working paper 2018/12.

  30. Blanchet, T., Fournier, J., Piketty, T. (2017). Generalized Pareto curves: Theory and applications. WID.world working paper 2017/3.

  31. Blanchet, T., Garbinti, B., Goupille‐Lebret, J., & Martínez‐Toledano, C. (2018b). Applying generalized Pareto curves to inequality analysis. AEA Papers and Proceedings, 108, 114–118.

  32. Bordley, R. F., McDonald, J. B., & Mantrala, A. (1996). Something new, something old: Parametric models for the size distribution of income. Journal of Income Distribution, 6, 91–103.
    Paper not yet in RePEc: Add citation now
  33. Brachmann, K., Stich, A., & Trede, M. (1996). Evaluating parametric income distribution models. Allgemeines Statistisches Archiv, 80, 285–298.
    Paper not yet in RePEc: Add citation now
  34. Brzeziński, M. (2013). Parametric modelling of income distribution in Central and Eastern Europe. Central European Journal of Economic Modelling and Econometrics, 5(3), 207–230.

  35. Buera, F. J., & Oberfield, E. (2016). The global diffusion of ideas. NBER WP, 21844, January.

  36. Burkhauser, R. V., Feng, S., & Larrimore, J. (2010). Improving imputations of top incomes in the public‐use current population survey by using both cell‐means and variances. Economics Letters, 108, 69–72.

  37. Burr, I. W. (1942). Cumulative frequency functions. Annals of Mathematical Statistics, 13(2), 215–232.
    Paper not yet in RePEc: Add citation now
  38. Butler, R. J., & McDonald, J. B. (1989). Using incomplete moments to measure inequality. Journal of Econometrics, 42, 109–119.

  39. Campano, F. (1987). A fresh look at Champernownes five‐parameter formula. Economie Appliquee, 40, 162–175.
    Paper not yet in RePEc: Add citation now
  40. Campano, F., & Salvatore, D. (2006). Income distribution. Oxford: Oxford University Press.
    Paper not yet in RePEc: Add citation now
  41. Chakraborti, A., & Patriarca, M. (2008). Gamma‐distribution and wealth inequality. Pramana Journal of Physics, 71(2), 233–243.

  42. Champernowne, D. G. (1937). The theory of income distribution. Econometrica, 5, 379–381.
    Paper not yet in RePEc: Add citation now
  43. Champernowne, D. G. (1952). The graduation of income distributions. Econometrica, 20(4), 591–615.
    Paper not yet in RePEc: Add citation now
  44. Champernowne, D. G. (1953). A model of income distribution. Economic Journal, 63(250), 318–351.
    Paper not yet in RePEc: Add citation now
  45. Champernowne, D. G. (1973). The distribution of income. Cambridge: Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  46. Charpentier, A., & Flachaire, E. (2019). Pareto models for top incomes. Aix‐Marseille Universite working paper, May.

  47. Chotikapanich, D., Griffiths, W. E., Hajargasht, G., Karunarathne, W., & Prasada Rao, D. S. (2018). Using the GB2 income distribution. Econometrics, 6(2), 21.

  48. Chotikapanich, D., Prasada Rao, D. S., & Tang, K. K. (2007). Estimating income inequality in China using grouped data and the generalized beta distribution. Review of Income and Wealth, 53, 127–147.

  49. Chumacero, R. A., & Ricardo Paredes, M. (2005). Characterizing income distribution: Policy implications for poverty and inequality. Estudios de Economía, 32(1), 97–117.
    Paper not yet in RePEc: Add citation now
  50. Chung, K. H., & Cox, R. A. K. (1994). A stochastic model of superstardom: An application of the Yule distribution. Review of Economics and Statistics, 76(4), 771–775.

  51. Clementi, F., & Gallegati, M. (2005). Paretos law of income distribution: Evidence for Germany, the United Kingdom and the United States. In A. Chatterjee, S. Yarlagadda, & B. K. Chakrabarti (Eds), Econophysics of wealth distributions. New Economic Windows. Milano: Springer.

  52. Clementi, F., DiMatteo, T., Gallegati, M., & Kaniadakis, G. (2008). The κ‐generalised distribution: A new descriptive model for the size distribution of incomes. Physica A, 387, 3201–3208.

  53. Coles, S. (2001). An introduction to statistical modeling of extreme values. New York: Springer.
    Paper not yet in RePEc: Add citation now
  54. Colombi, R. (1990). A new model of income distribution: The Pareto‐lognormal distribution. In C. Dagum & M. Zenga (Eds.), Studies in contemporary economics: Income and wealth distribution, inequality and poverty (chapter 2). Berlin: Springer.
    Paper not yet in RePEc: Add citation now
  55. Cowell, F. A. (2011). Measuring inequality (3rd edn.). Oxford: Oxford University Press.
    Paper not yet in RePEc: Add citation now
  56. Cowell, F. A., & Flachaire, E. (2002). Sensitivity of inequality measures to extreme values. LSE STICERD Research Paper, DARP 60.

  57. Cowell, F. A., & Flachaire, E. (2007). Income distribution and inequality measurement: The problem of extreme values. Journal of Econometrics, 141(2), 1044–1072.

  58. Cowell, F. A., & Flachaire, E. (2015). Statistical methods for distributional analysis. AMSE Working Papers, 1507.

  59. Cowell, F. A., & Van Kerm, P. (2015). Wealth inequality: A survey. Journal of Economic Surveys, 29(4), 671–710.

  60. Cramer, J. S. (1978). A function for size distribution of incomes: Comment, note. Econometrica, 46, 459–460.

  61. Cronin, D. C. (1979). A function for size distribution of incomes: A further comment. Econometrica, 47(3), 773–774.

  62. Cummins, J. D., Dionne, G., McDonald, J. B., & Michael Pritchett, B. (1990). Applications of the GB2 family of distributions in modeling insurance loss processes. Insurance Mathematical Economics, 9, 257–272.

  63. DAddario, R. (1949)., Ricerche sulla curva dei redditi. Giornale degli Economisti e Annali di Economia, 8(1/2), 91–114.
    Paper not yet in RePEc: Add citation now
  64. Dagsvik, J. K., Zhu, W., Vatne, B. H., Jia, Z. (2013). Is the Pareto‐Lévy law a good representation of income distributions? Empirical Economics, 44(2), 719–737.

  65. Dagum, C. (1975). A model of income distribution and the conditions of existence of moments of finite order. In Proceedings of the 40th session of the International Statistical Institute, pp. 196–202.Warsaw.
    Paper not yet in RePEc: Add citation now
  66. Dagum, C. (1977). A new model of personal income distribution: Specification and Estimation. Economie Appliquée, 30, 413–437.
    Paper not yet in RePEc: Add citation now
  67. Dagum, C. (1980). The generation and distribution of income, the Lorenz curve and the Gini ratio. Economie Appliquée, 33, 327–367.
    Paper not yet in RePEc: Add citation now
  68. Dagum, C. (1983). Income distribution models. In S. Kotz, N. L. Johnson, & C. Read (Eds.), Encyclopedia of statistical sciences (Vol. 4, pp. 27–34). New York: John Wiley.
    Paper not yet in RePEc: Add citation now
  69. Dagum, C. (1990a). A model of net wealth distribution specified for negative, null and positive wealth: A case study—Italy. In C. Dagum & M. Zenga (Eds.), Studies in contemporary economics: Income and wealth distribution, inequality and poverty (Chapter 4). Berlin: Springer.
    Paper not yet in RePEc: Add citation now
  70. Dagum, C. (1990b). Generation and properties of income distribution functions. In C. Dagum & M. Zenga (Eds.), Studies in contemporary economics: Income and wealth distribution, inequality and poverty (Chapter 4). Berlin: Springer.
    Paper not yet in RePEc: Add citation now
  71. Dagum, C. (1999). A study on the distributions of income, wealth and human capital. Revue Européenne des Sciences Sociales, 37(133), 231–268.
    Paper not yet in RePEc: Add citation now
  72. Dagum, C., & Lemmi, A. A. (1989). A contribution to the analysis of income distribution and income and a case study: Italy. In D. I. Slottje (Ed.), Advances in econometrics. Greenwich: Yai Press.
    Paper not yet in RePEc: Add citation now
  73. Dastrup, S., Hartshorn, R., & McDonald, J. (2007). The impact of taxes and transfer payments on the distribution of income: A parametric comparison. Journal of Economic Inequality, 5, 353–369.

  74. Davidson, R., & Flachaire, E. (2007). Asymptotic and bootstrap inference for inequality and poverty measures. Journal of Econometrics, 141(1), 141–166.

  75. Davis, H. T. (1941a). The analysis of economic time series. Bloomington, IN: Principia Press.
    Paper not yet in RePEc: Add citation now
  76. Davis, H. T. (1941b). The theory of econometrics. Bloomington, IN: Principia Press.
    Paper not yet in RePEc: Add citation now
  77. Drees, H., de Haan L., & Resnick, S. I. (2000). How to make a Hill plot. Annals of Statistics, 28(1), 254–274.
    Paper not yet in RePEc: Add citation now
  78. Duan, Y. (2016). Implementing the multimodel generalized beta estimator in Stata and its application. Masters thesis, Department of Statistics, University of Texas at Austin.
    Paper not yet in RePEc: Add citation now
  79. Dubey, S. D. (1970). Compound gamma, beta and F distributions. Metrika, 16, 27–31.

  80. Eckerstorfer, P., Halak, J., Kapeller, J., Schutz, B., Springholz, F., & Wildauer, R. (2016). Correcting for the missing rich: An application to wealth survey data. Review of Income and Wealth, 62(4), 605–627.

  81. Espinguet, P., & Terraza, M. (1983). Essai dextrapolation des distributions de salaires francais. Economie Appliquée, 36, 535–561.
    Paper not yet in RePEc: Add citation now
  82. Esteban, J. (1986). Income share elasticity and the size distribution of income. International Economic Review, 27, 439–444.

  83. Feng, S., Burkhauser, R. V., & Butler, J. S. (2006). Levels and long‐term trends in earnings inequality: Overcoming Current Population Survey censoring problems using the GB2 distribution. Journal of Business & Economic Statistics, 24, 51–62.

  84. Fisher, R. A. (1930). The genetical theory of natural selection. New York: Oxford University Press.
    Paper not yet in RePEc: Add citation now
  85. Fisk, P. R. (1961). The graduation of income distributions. Econometrica, 29, 171–185.
    Paper not yet in RePEc: Add citation now
  86. Gabaix, X. (2009). Power laws in economics and finance. Annual Review of Economics, 1, 255–294.

  87. Gibrat, R. (1931). Les Inégalités économiques: Applications aux inégalités des richesses, à la concentration des entreprises, aux populations des villes, aux statistiques des familles, etc., dune loi nouvelle: La loi de leffet proportionnel, Paris: Librairie du Recueil Sirey.
    Paper not yet in RePEc: Add citation now
  88. Giorgi, G. M. (1999). Income inequality measurement: The statistical approach. In J. Silber (Ed.), Handbook of income inequality measurement. Norwell MA: Kluwer.
    Paper not yet in RePEc: Add citation now
  89. Gordy, M. B. (1998). A generalization of generalized beta distributions, Federal Reserve Board, FEDS Paper 98–18.

  90. Graf, E., & Tille, Y. (2013). Imputation of income data with generalized calibration procedure and GB2 law: Illustration with SILC data. In Proceedings of the 59th Session of the International Statistical Institute, Hong Kong, pp. 5509–5514.
    Paper not yet in RePEc: Add citation now
  91. Graf, M., & Nedyalkova, D. (2014). Modeling of income and indicators of poverty and social exclusion using the generalized beta distribution of the second kind. Review of Income and Wealth, 60(4), 821–842.

  92. Guerra, R. R., Pena‐Ramirez, F. A., & Cordeiro, G. M. (2017). The gamma Burr XII distribution: Theory and application. Journal of Data Science, 15, 467–494.
    Paper not yet in RePEc: Add citation now
  93. Hamed, D., Famoye, F., & Lee, C. (2018). On families of generalized Pareto distributions: Properties and applications. Journal of Data Science, 4(8), 377–396.
    Paper not yet in RePEc: Add citation now
  94. Handcock, M. S., & Jones, J. H. (2004). Likelihood‐based inference for stochastic models of sexual network formation. Theoretical Population Biology, 65, 413–422.
    Paper not yet in RePEc: Add citation now
  95. Harrison, A. J. (1979). The upper tail of the earnings distribution: Pareto or lognormal? Economics Letters, 2, 191–195.

  96. Harrison, A. J. (1981). Earnings by size: A tale of two distributions. Review of Economic Studies, 48(4), 621–631.

  97. Hårsman, B., & Mattsson, L.‐G. (2017). Dissolving the entrepreneurship puzzle: Applying Fréchet distributions to Lazears occupational choice model, Centre of Excellence for Science and Innovation Studies (CESIS) WP 458, July, Stockholm: CESIS.
    Paper not yet in RePEc: Add citation now
  98. Hårsman, B., Mattsson, L.‐G., & Hovsepyan, V. (2018). The income return to entrepreneurship: Theoretical model and outcomes for Swedish regions. Annals of Regional Science, 61, 479–498.

  99. Hart, P. E. (1983). The size mobility of earnings. Oxford Bulletin of Economics and Statistics, 45(2), 181–193.

  100. Henninger, C., & Schmitz, H.‐P. (1989). Size distributions of incomes and expenditures: Testing the parametric approach. Discussion Paper A‐219, SFB 303, Universität Bonn.
    Paper not yet in RePEc: Add citation now
  101. Hill, B. M. (1975). A simple general approach to inference about the tail of a distribution. Annals of Statistics, 3(5), 1163–1174.
    Paper not yet in RePEc: Add citation now
  102. Hippel, P. T. v., Holas, I., & Scarpino, S. V. (2012). Estimation with binned data. Cornell University working paper.
    Paper not yet in RePEc: Add citation now
  103. Hlásny, V. (2021). Redistributive impacts of fiscal policies in Mexico: Corrections for top income measurement problems. Latin American Policy, 12(1).
    Paper not yet in RePEc: Add citation now
  104. Hlásny, V., & Verme, P. (2015). Top incomes and the measurement of inequality: A comparative analysis of correction methods using Egyptian, EU and US survey data, Paper presented at the 6th meeting of the Society for the Study of Economic Inequality (ECINEQ), Luxembourg, July 13–15, 2015. Retrieved from www.ecineq.org/ecineq_lux15/FILESx2015/CR2/p145.pdf.
    Paper not yet in RePEc: Add citation now
  105. Hlásny, V., & Verme, P. (2018a). The impact of top incomes biases on the measurement of inequality in the United States, Ecineq working paper 452.
    Paper not yet in RePEc: Add citation now
  106. Hlásny, V., & Verme, P. (2018b). Top incomes and inequality measurement: A comparative analysis of correction methods using the EU SILC data. Econometrics, 6(2), 30.

  107. Hlásny, V., & Verme, P. (2018c). Top incomes and the measurement of inequality in Egypt. World Bank Economic Review, 32(2), 428–455.

  108. Hlásny, V., Ceriani, L., & Verme, P. (2020). Bottom incomes and the measurement of poverty and inequality, Global Labor Organization DP519.

  109. Horsky, D. (1990). A diffusion model incorporating product benefits, price, income and information. Marketing Science, 9(4), 342–365.

  110. Houthakker, H. S. (1992). Conic distributions of earnings and income. Harvard Institute of Economic Research Working Papers 1598.

  111. Hruschka, D. J., Gerkey, D., & Hadley, C. (2015). Estimating the absolute wealth of households. Bulletin of the World Health Organization, 93, 483–490.
    Paper not yet in RePEc: Add citation now
  112. Ibragimov, M., & Ibragimov, R. (2018). Heavy tails and upper‐tail inequality: The case of Russia. Empirical Economics, 54, 823–837.
    Paper not yet in RePEc: Add citation now
  113. Jacobi, A., & Tzur, J. (2020). Quality of Weibull, Dagum and Burr XII in estimating wealth distribution across countries and over time, mimeo. Israel: Ono Academic College, Kiryat Ono.
    Paper not yet in RePEc: Add citation now
  114. Jäntti, M., & Jenkins, S. P. (2010). The impact of macroeconomic conditions on income inequality. Journal of Economic Inequality, 8, 221–240.

  115. Jäntti, M., Sierminska, E. M., & Van Kerm, P. (2015). Modeling the joint distribution of income and wealth. Research on Economic Inequality, 23, 301–327.

  116. Jenkins, S. P. (2007). Inequality and the GB2 income distribution. IZA Discussion Papers 2831, Institute for the Study of Labor (IZA), Bonn, Germany.

  117. Jenkins, S. P. (2009). Distributionally‐sensitive inequality indices and the GB2 income distribution. Review of Income and Wealth, 55, 392–398.

  118. Jenkins, S. P. (2017). Pareto distributions, top incomes, and recent trends in UK income inequality. Economica, 84(334), 261–289.

  119. Jenkins, S. P., & Jäntti, M. (2005). Methods for summarizing and comparing wealth distributions. ISER Working Paper 2005‐05.

  120. Jenkins, S. P., Burkhauser, R. V., Feng, S., & Larrimore, J. (2011). Measuring inequality using censored data: A multiple‐imputation approach to estimation and inference. Journal of the Royal Statistical Society, 174(1), 63–81.

  121. Johnson, N. L. (1949). Systems of frequency curves generated by methods of translation. Biometrika, 36(1/2), 149–176.
    Paper not yet in RePEc: Add citation now
  122. Johnson, N. L., Kotz, S., & Balakrishnan, N. (1994). Distributions in statistics: Continuous univariate distributions (Vols. 1 and 2, 2nd edn.). New York: Wiley.
    Paper not yet in RePEc: Add citation now
  123. Jones, C. I. (2015). Pareto and Piketty: The macroeconomics of top income and wealth inequality. Journal of Economic Perspectives, 29(1), 29–46.

  124. Kalbfleisch, J. D., & Prentice, R. L. (1980). The statistical analysis of failure time data. New York: Wiley.
    Paper not yet in RePEc: Add citation now
  125. Kalecki, M. (1945). On the Gibrat distribution. Econometrica, 13(2), 161–170.
    Paper not yet in RePEc: Add citation now
  126. Kennickell, A. B. (2019). The tail that wags: Differences in effective right tail coverage and estimates of wealth inequality. Journal of Economic Inequality, 17, 443–459.

  127. Kleiber, C. (1996). Dagum vs. Singh‐Maddala income distributions. Economics Letters, 53, 265–268.

  128. Kleiber, C. (2008). A guide to the Dagum distributions. In D. Chotikapanich (Ed.), Modeling income distributions and Lorenz curves (pp. 97–118, Chapter 6). New York: Springer.

  129. Kleiber, C. (2013). On moment indeterminacy of the Benini income distribution. Statistical Papers, 54, 1121–1130.

  130. Kleiber, C., & Kotz, S. (2003). Statistical size distributions in economics and actuarial sciences. Hoboken, NJ: John Wiley & Sons.
    Paper not yet in RePEc: Add citation now
  131. Kloek, T., & Van Dijk, H. K. (1978). Efficient estimation of income distribution parameters. Journal of Econometrics, 8, 61–74.

  132. Kmietowicz, Z. W., & Ding, H. (1993). Statistical analysis of income distribution in the Jiangsu Province of China. Journal of the Royal Statistical Society, 42(2), 107–121.
    Paper not yet in RePEc: Add citation now
  133. Kotz, S., & Nadarajah, S. (2000). Extreme value distributions: Theory and applications. London: World Scientific.
    Paper not yet in RePEc: Add citation now
  134. Kotz, S., & van Dorp J. R. (2006). Beyond beta: Other continuous families of distributions with bounded support and applications. Singapore: World Scientific.
    Paper not yet in RePEc: Add citation now
  135. Lakner, C., & Milanovic, B. (2015). Global income distribution rom the fall of the Berlin Wall to the Great Recession. World Bank Economic Review, 30(2), 203–232.
    Paper not yet in RePEc: Add citation now
  136. Lee, L.‐F. (1984). Maximum likelihood estimation and a specification test for non‐normal distributional assumption for the accelerated failure time models. Journal of Econometrics, 24(1), 159–179.

  137. Leemis, L. M., & McQueston, J. T. (2008). Univariate distribution relationships, Teachers’ Corner. American Statistician, 62(1), 45–53.

  138. Lomax, K. S. (1954). Business failures: Another example of the analysis of failure data. Journal of the American Statistical Association, 49, 847–852.
    Paper not yet in RePEc: Add citation now
  139. Lorenz, M. O. (1905). Methods of measuring the concentration of wealth. Publications of the American Statistical Association, 9(70), 209–219.
    Paper not yet in RePEc: Add citation now
  140. Lubrano, M. (2017). The econometrics of inequality and poverty. Unpublished manuscript, AIX Marseille School of Economics.
    Paper not yet in RePEc: Add citation now
  141. Lustig, N. (2019). The ‘missing rich’ in household surveys: Causes and correction approaches. CEQ Working Paper 75.

  142. Maccabelli, T. (2009). Measuring inequality: Paretos ambiguous contribution. History of Political Economy, 41, 183–208.

  143. Majumder, A., & Chakravarty, S. R. (1990). Distribution of personal income: Development of a new model and its application to US income data. Journal of Applied Econometrics, 5(2), 189–196.

  144. March, L. (1898). Quelques exemples de la distribution de salaires. Journal de la Socièté Statistique de Paris, 39, 193–206. Marshall, A. W., & Olkin, I. (1997). A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika, 84, 641–652.
    Paper not yet in RePEc: Add citation now
  145. McDaniel, R. R., Sullivan, R. S., & Wilson, J. R. (1988). A simulation model for welfare policy analysis. Socio‐Economic Planning Sciences, 22(4), 157–165.

  146. McDonald, J. B. (1984). Some generalized functions for the size distribution of income. Econometrica, 52, 647–663.

  147. McDonald, J. B., & Butler, R. J. (1990). Regression models for positive random variables. Journal of Econometrics, 43, 227–251.

  148. McDonald, J. B., & Mantrala, A. (1993). Apples, oranges and distribution trees. Discussion paper, Brigham Young University.
    Paper not yet in RePEc: Add citation now
  149. McDonald, J. B., & Mantrala, A. (1995). The distribution of personal income: Revisited. Journal of Applied Econometrics, 10(2), 201–204.

  150. McDonald, J. B., & Ransom, M. R. (1979a). Alternative parameter estimators based upon grouped data. Communications in Statistics, 8(9), 899–917.
    Paper not yet in RePEc: Add citation now
  151. McDonald, J. B., & Ransom, M. R. (1979b). Functional forms, estimation techniques and the distribution of income. Econometrica, 47(6), 1513–1525.

  152. McDonald, J. B., & Richards, D. O. (1987). Hazard rates and generalized beta distributions. IEEE Transactions on Reliability, 36, 463–466.
    Paper not yet in RePEc: Add citation now
  153. McDonald, J. B., & Xu, Y. J. (1995). A generalization of the beta distribution with applications. Journal of Econometrics, 66, 133–152.

  154. McDonald, J. B., Turley, P. A., Sorensen, J. (2013). Skewness and kurtosis properties of income distribution models. Review of Income and Wealth, 59(2), 360–374.

  155. McLaughlin, M. P. (1999). A compendium of common probability distributions, Version 2.3, Appendix A of Regress+ documentation. Retrieved from www.ub.edu/stat/docencia/Diplomatura/Compendium.pdf.
    Paper not yet in RePEc: Add citation now
  156. Merkies, A. H. Q. M. (1987). Inductive analysis from empirical income distributions. In R. Heijmans & H. Neudecker (Eds.), The practice of econometrics: Preference functions of Dutch political parties (pp. 151–164). Dordrecht, the Netherlands: Springer.
    Paper not yet in RePEc: Add citation now
  157. Metcalf, C. E. (1969). The size distribution of personal income during the business cycle. American Economic Review, 59, 657–669.

  158. Metcalf, C. E. (1972). An econometric model of the income distribution, Institute for Research on Poverty monograph. Chicago: Markham Publishers.
    Paper not yet in RePEc: Add citation now
  159. Nadarajah, S., & Kotz, S. (2006). Beta trigonometric distributions. Portuguese Economic Journal, 5(3), 207–224.

  160. Nirei, M., & Souma, W. (2007). A two‐factor model of income distribution dynamics. Review of Income and Wealth, 53(3), 440–459.

  161. Okamoto, M. (2013). Extension of the κ‐generalized distribution: New four‐parameter models for the size distribution of income and consumption. Luxembourg Income Study working paper 600, December.

  162. Oluyede, B. O., Huang, S., & Pararai, M. (2014). A new class of generalized Dagum distribution with applications to income and lifetime data. Journal of Statistical and Econometric Methods, 3(2), 125–151.

  163. Ord, K. (1975). Statistical models for personal income distributions. In G. P. Patil, S. Kotz, & J. K. Ord (Eds.), Statistical distributions in scientific work (Vol., 2, pp. 151–158). Dordrecht: D. Reidel, Publ. Co.
    Paper not yet in RePEc: Add citation now
  164. Papastathopoulos, I., & Tawn, J. A. (2013). Extended generalised Pareto models for tail estimation. Journal of Statistical Planning and Inference, 143, 131–142.
    Paper not yet in RePEc: Add citation now
  165. Pareto, V. F. D. (1896b). On the distribution of wealth and income. F. A. Cowell (Ed.), The economics of poverty and inequality (Vol. 2), Cheltenham: Elgar Reference Collection, 2003.

  166. Patil, G. P., Boswell, M. T., & Ratnaparkhi, M. V. (1984). Dictionary and classified bibliography of statistical distributions in scientific work: Continuous univariate models. Burtonsville, MD: International Cooperative Publishers.
    Paper not yet in RePEc: Add citation now
  167. Pérez, G., Carmelo, & Alaiz, M. P. (2011). Using the Dagum model to explain changes in personal income distribution. Applied Economics, 43(28), 4377–4386.

  168. Persky, J. (1992). Retrospectives: Paretos law. Journal of Economic Perspectives, 6(2), 181–192.

  169. Pham‐Gia, T., & Duong, Q. P. (1989). The generalized beta and F distributions, statistical modeling. Mathematical Computational Modeling, 12(12), 1613–1625.
    Paper not yet in RePEc: Add citation now
  170. Pickands, J. (1975). Statistical inference using extreme order statistics. Annals of Statistics, 3(1), 119–131.
    Paper not yet in RePEc: Add citation now
  171. Pocock, M. L., McDonald, J. B., & Pope, C. L. (2003). Estimating faculty salary distributions: An application of order statistics. Journal of Income Distribution, 11, 43–51.
    Paper not yet in RePEc: Add citation now
  172. Ragab, A., Green, J. R., & Tweedie, M. C. K. (1991). The Burr type II distribution: Properties, order statistics. Microelectronics Reliability, 31(6), 1181–1191.
    Paper not yet in RePEc: Add citation now
  173. Reed, W. J. (2003). The Pareto law of incomes: An explanation and an extension. Physica A, 319, 579–597.

  174. Reed, W. J., & Jorgensen, M. (2004). The double Pareto‐lognormal distribution—A new parametric model for size distributions. Communications in Statistics—Theory and Methods, 33(8), 1733–1753.
    Paper not yet in RePEc: Add citation now
  175. Reed, W. J., & Wu, F. (2008). New four‐ and five‐parameter models for income distributions. In D. Chotikapanich (Ed.), Modeling income distributions and Lorenz curves (Chapter 13, pp. 211–224). New York: Springer‐Verlag.
    Paper not yet in RePEc: Add citation now
  176. Salem, A. B. Z., & Mount, T. D. (1974). A convenient descriptive model of income distribution: The Gamma density. Econometrica, 42, 1115–1127.

  177. Sarabia, J. M., Castillo, E., & Slottje, D. J. (2002). Lorenz ordering between McDonalds generalized functions of the income size distribution. Economics Letters, 75, 265–270.

  178. Schluter, C., & Trede, M. (2002). Tails of Lorenz curves. Journal of Econometrics, 109, 151–166.

  179. Shakeel, M., Hussain, I., Arif, M. M., Ameen, M., & Ahsan ul haq, M. (2015). Parametric modeling of household income distribution in the Punjab, Pakistan. Science International (Lahore), 27(5), 4161–4170.
    Paper not yet in RePEc: Add citation now
  180. Simon, H. A. (1955). On a class of skew distribution functions. Biometrika, 42(3/4), 425–440.
    Paper not yet in RePEc: Add citation now
  181. Simon, H. A., & Bonini, C. P. (1958). The size distribution of business firms. American Economic Review, 48, 607–617.
    Paper not yet in RePEc: Add citation now
  182. Singh, S. K., & Maddala, G S. (1976). A function for the size distribution of income. Econometrica, 44, 963–970.

  183. Song, W. T. (2005). Relationships among some univariate distributions. IIE Transactions, 37, 651–656.
    Paper not yet in RePEc: Add citation now
  184. Stacy, E. W. (1962). A generalization of the gamma distribution. Annals of Mathematical Statistics, 33, 1187–1192.
    Paper not yet in RePEc: Add citation now
  185. Stoppa, G. (1990a). A new model for income size distributions. In C. Dagum & M. Zenga (Eds.), Studies in contemporary economics: Income and wealth distribution, inequality and poverty. Berlin: Springer.
    Paper not yet in RePEc: Add citation now
  186. Stoppa, G. (1990b). Proprieta campionarie di un nuovo modello Pareto generalizzato. Atti XXXV Riunione Scientifica della Societa Italiana di Statistica, Padova: Cedam, XXXV(1), 137–144.
    Paper not yet in RePEc: Add citation now
  187. Suisse, C. (2019). Global wealth report 2019: Report and databook, October 2019.
    Paper not yet in RePEc: Add citation now
  188. Suruga, T. (1982). Functional forms of income distribution: The case of yearly income groups in the “Annual report on the family income and expenditure survey.” Economic Studies Quarterly, 33(1), 361–395.
    Paper not yet in RePEc: Add citation now
  189. Tachibanaki, T., Suruga, T., & Atoda, N. (1997). Estimations of income distribution parameters for individual observations by maximum likelihood method. Journal of the Japan Statistical Society, 27(2), 191–203.
    Paper not yet in RePEc: Add citation now
  190. Tadikamalla, P. R. (1980). A look at the Burr and related distributions. International Statistical Review, 48(3), 337–344.
    Paper not yet in RePEc: Add citation now
  191. Taylor, L. D. (2010). Conic distributions of earned incomes. In Taylor, L. D., & Houthakker, H. S. (Eds.), Consumer demand in the United States: Prices, incomes and consumption behavior. New York: Springer.

  192. Thatcher, A. R. (1968). The distribution of earnings of employees in Great Britain. Journal of the Royal Statistical Society: Series A, 131(2), 133–170.
    Paper not yet in RePEc: Add citation now
  193. Thurow, L. C. (1970). Analyzing the American income distribution. American Economic Review, 60(2), 261–269.

  194. Toda, A. A. (2012). The double power law in income distribution: Explanations and evidence. Journal of Economic Behavior and Organization, 84, 364–381.

  195. Topp, C. W., & Leone, F. C. (1955). A family of J‐shaped frequency functions. Journal of the American Statistical Association, 50(269), 209–219.
    Paper not yet in RePEc: Add citation now
  196. Trzcińska, K. (2020). Analysis of household income in Poland based on the Zenga distribution and selected income inequality measure. Folia Oeconomica Stetinensia, 20(1), 421–436.
    Paper not yet in RePEc: Add citation now
  197. Van Dorp, J. R., & Kotz, S. (2006). Modeling income distributions using elevated distributions. In R. H.P. Rafael, J. C. Cespedes, & J. M. Herrerias Velasco (Eds.), Distribution models theory (Chapter 3, pp. 1–25). Singapore: World Scientific Publishing.

  198. Van Hauwermeiren, M., Vose, D., & Bossche, S. V. (2012). A Compendium of distributions (2nd edn.) [e‐book], Ghent: Vose Software.
    Paper not yet in RePEc: Add citation now
  199. Venter, G. G. (1984). Transformed beta and gamma distributions and aggregate losses. Proceedings of the Casualty Actuarial Society, 156–193.
    Paper not yet in RePEc: Add citation now
  200. Vermeulen, P. (2016). Estimating the top tail of the wealth distribution. American Economic Review, 106(5), 646–650.

  201. Victoria‐Feser, M.‐P. (1995). Robust methods for personal income distribution models, with application to Dagums model. In C. Dagum & A. Lemmi (Eds.) Research on economic inequality: Income distribution, social welfare, inequality and poverty (pp. 225–239). Greenwich: JAI Press.
    Paper not yet in RePEc: Add citation now
  202. Victoria‐Feser, M.‐P. (2000). Robust methods for the analysis of income distribution, inequality and poverty. International Statistical Review, 68, 277–293.
    Paper not yet in RePEc: Add citation now
  203. Walls, W. D. (2006). Demand stochastics, supply adaptation, and the distribution of film earnings. Applied Economics Letters, 12(10), 619–623.

  204. Weibull, W. (1951). A statistical distribution function of wide applicability. Journal of Applied Mechanics, 18(3), 293–297.
    Paper not yet in RePEc: Add citation now
  205. Winkler, W. (1950). The corrected Pareto law and its economic meaning. Bulletin of International Statistical Institute, 32, 441–449.
    Paper not yet in RePEc: Add citation now
  206. Xekalaki, E. (1983). A property of the Yule distribution and its applications. Communication in Statistics—Theory and Methods, 12(10), 1181–1189.
    Paper not yet in RePEc: Add citation now
  207. Yule, G. U. (1925). A mathematical theory of evolution based on the conclusions of Dr. J.C. Willis F.R.S., Philosophical Transactions B, Royal Society of London, 213, 21–87.
    Paper not yet in RePEc: Add citation now
  208. Zandonatti, A. (2001). Distribuzioni de Pareto generalizzate. Tesi di Laurea, Department of Economics, University of Trento.
    Paper not yet in RePEc: Add citation now
  209. Zenga, M. M. (2010). Mixture of Polisicchios truncated Pareto distributions with beta weights. Statistica & Applicazioni, 8(1), 3–25.
    Paper not yet in RePEc: Add citation now

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