Distributing Personal Income: Trends Over Time / Dennis Fixler, Marina Gindelsky, David Johnson.

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Fixler, Dennis

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w26996.Publication details: Cambridge, Mass. National Bureau of Economic Research 2020.Description: 1 online resource: illustrations (black and white)Subject(s):

D31 - Personal Income, Wealth, and Their Distributions

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Abstract: This paper constructs a distribution of Personal Income for the United States (2007-2016) to investigate the relationship between inequality and macroeconomic growth. We extend a perspective first presented in Fixler and Johnson (2014) and further developed in Fixler et al. (2017) and Fixler, Gindelsky, and Johnson (2018, 2019) to develop a national account-based measure using a decade of publicly available survey, tax, and administrative data. By using (equivalized) households as the base unit of analysis and focusing on a more inclusive definition of income than most inequality studies (i.e., including health, transfers, and financial assets), we improve on existing economic measures of inequality in a meaningful way and bridge the gap between micro data and macro statistics. We produce a wide set of inequality results over the period, drawing a comparison with other studies (including Auten and Splinter (2019) and Piketty, Saez, and Zucman (2018)).

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w26996 (Browse shelf(Opens below))	Not For Loan

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April 2020.

This paper constructs a distribution of Personal Income for the United States (2007-2016) to investigate the relationship between inequality and macroeconomic growth. We extend a perspective first presented in Fixler and Johnson (2014) and further developed in Fixler et al. (2017) and Fixler, Gindelsky, and Johnson (2018, 2019) to develop a national account-based measure using a decade of publicly available survey, tax, and administrative data. By using (equivalized) households as the base unit of analysis and focusing on a more inclusive definition of income than most inequality studies (i.e., including health, transfers, and financial assets), we improve on existing economic measures of inequality in a meaningful way and bridge the gap between micro data and macro statistics. We produce a wide set of inequality results over the period, drawing a comparison with other studies (including Auten and Splinter (2019) and Piketty, Saez, and Zucman (2018)).