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Quarterly Journal of Economics Vol. 139 No. 1 2024

Measuring Welfare and Inequality with Incomplete Price Information

David Atkin1; Benjamin Faber2; Thibault Fally2; Marco Gonzalez-Navarro3

1 Masschusetts Institute of Technology and National Bureau of Economic Research , United States · 2 University of California , Berkeley and National Bureau of Economic Research, United States · 3 University of California , Berkeley, United States

Abstract

We propose and implement a new approach that allows us to estimate income-specific changes in household welfare in contexts where well-measured prices are not available for important subsets of consumption. Using rich but widely available expenditure survey microdata, we show that we can recover income-specific equivalent and compensating variations from horizontal shifts in what we call “relative Engel curves”—as long as preferences fall within the broad quasi-separable class (Gorman 1970, 1976). Our approach is flexible enough to allow for nonparametric estimation at each point of the income distribution. We apply the methodology to estimate inflation and welfare changes in rural India between 1987 and 2000. Our estimates reveal that lower rates of inflation for the rich erased the real income convergence found in the existing literature that uses the subset of consumption with well-measured prices to calculate inflation.

DOI
10.1093/qje/qjad037
Volume
139
Issue
1
Pages
419-475
Language
en
Sources
bibtex:phds-export.bib crossref openalex

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