Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection

Vladimir Hlasny

No 90, Commitment to Equity (CEQ) Working Paper Series from Tulane University, Department of Economics

Abstract: Approximating the top of income distributions with smooth parametric forms is valuable for descriptive purposes, as well as for correcting income distributions for various top-income measurement and sampling problems. The proliferation of distinct branches of modeling literature over the past decades has given rise to the need to survey the alternative modeling options and develop systematic tools to discriminate among them. This paper reviews the state of methodological and empirical knowledge regarding the adoptable distribution functions, and lists references and statistical programs allowing practitioners to apply these parametric models to microdata in household income surveys, administrative registers, or grouped-records data from national accounts statistics. Implications for modeling the distribution of other economic outcomes including consumption and wealth are drawn. For incomes, recent consensus shows that among the many candidate distribution functions, only a handful have proved to be consistently successful, namely the generalized Pareto, and the 3–4 parameter distributions in the generalized beta family, including the Singh-Maddala and the GB2 distributions. Understanding these functions in relation to other known alternatives is one contribution of this review.

Keywords: statistical size distribution of incomes; top incomes measuremen; parametric estimation; extreme value theory; Pareto; inequality (search for similar items in EconPapers)
JEL-codes: C1 D31 D63 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2020-03
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published in Commitment to Equity, March 2020, pages 1-41

Downloads: (external link)
http://repec.tulane.edu/RePEc/ceq/ceq90.pdf First version, 2020 (application/pdf)

Related works:
Journal Article: Parametric representation of the top of income distributions: Options, historical evidence, and model selection (2021)
Working Paper: Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection (2020)
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