NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Marina Gindelsky

Bureau of Economic Analysis
4600 Silver Hill Rd
Suitland, MD 20746

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
Institutional Affiliation: Bureau of Economic Analysis

NBER Working Papers and Publications

April 2020Distributing Personal Income: Trends Over Time
with Dennis Fixler, David Johnson: w26996
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 ...
March 2020Distributing Personal Income: Trends over Time
with Dennis Fixler, David Johnson
in Measuring and Understanding the Distribution and Intra/Inter-Generational Mobility of Income and Wealth, Raj Chetty, John N. Friedman, Janet C. Gornick, Barry Johnson, and Arthur Kennickell, editors
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 ...
April 2019Valuing Housing Services in the Era of Big Data: A User Cost Approach Leveraging Zillow Microdata
with Jeremy Moulton, Scott A. Wentland
in Big Data for 21st Century Economic Statistics, Katharine G. Abraham, Ron S. Jarmin, Brian Moyer, and Matthew D. Shapiro
Historically, residential housing services or “space rent” for owner-occupied housing has made up a substantial portion (approximately 10%) of U.S. GDP final expenditures. The current methods and imputations for this estimate employed by the Bureau of Economic Analysis (BEA) rely primarily on designed survey data from the Census Bureau. In this study, we develop new, proof-of-concept estimates valuing housing services based on a user cost approach, utilizing detailed microdata from Zillow (ZTRAX), a “big data” set that contains detailed information on hundreds of millions of market transactions. Methodologically, this kind of data allows us to incorporate actual market prices into the estimates more directly for property-level hedonic imputations, providing an example for statistical agenc...
 
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