View : 725 Download: 0

The Impact of Top Incomes Biases on the Measurement of Inequality in the United States

Title
The Impact of Top Incomes Biases on the Measurement of Inequality in the United States
Authors
Hlasny, VladimirVerme, Paolo
Ewha Authors
Vladimir Hlasny
SCOPUS Author ID
Vladimir Hlasnyscopus
Issue Date
2022
Journal Title
OXFORD BULLETIN OF ECONOMICS AND STATISTICS
ISSN
0305-9049JCR Link

1468-0084JCR Link
Citation
OXFORD BULLETIN OF ECONOMICS AND STATISTICS vol. 84, no. 4, pp. 749 - 788
Publisher
WILEY
Indexed
SCIE; SSCI; SCOPUS WOS scopus
Document Type
Article
Abstract
The paper assesses how top incomes biases affect the estimation of income inequality in the United States using the Current Population Survey (the March Annual Social and Economic Supplement) and two alternative correction methods - a stochastic approach based on reweighting and a semi-parametric approach based on replacing observations. Consistently with previous studies, both methods and their joint application show that income inequality in the United States between 1979 and 2014 has been consistently underestimated by several percentage points. The level of underestimation is positively and significantly associated with mean income, non-response rates and the initial level of inequality. Reweighting is found to address top incomes biases - specifically those related to unit and item non-response - consistently and more effectively than replacing, possibly because widely used parametric distributions do not represent US top incomes accurately.
DOI
10.1111/obes.12472
Appears in Collections:
사회과학대학 > 경제학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE