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MEASURING WEALTH WITH SURVEY DATA: AN EVALUATION OF THE 1983 SURVEY OF CONSUMER FINANCES
Author(s) -
Avery Robert B.,
Elliehausen Gregory E.,
Kennickell Arthur B.
Publication year - 1988
Publication title -
review of income and wealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 57
eISSN - 1475-4991
pISSN - 0034-6586
DOI - 10.1111/j.1475-4991.1988.tb00575.x
Subject(s) - survey data collection , merge (version control) , imputation (statistics) , sample (material) , econometrics , economics , weighting , survey sampling , microdata (statistics) , distribution (mathematics) , actuarial science , statistics , mathematics , missing data , computer science , medicine , mathematical analysis , population , chemistry , demography , radiology , chromatography , sociology , census , information retrieval
Because wealth estimates from survey data have usually fallen substantially short of independent aggregate estimates, survey data have not been seen as adequate for assessing questions dependent on a good representation of the entire distribution of wealth, such as estimates of wealth concentration. The 1983 Survey of Consumer Finances (SCF), which contains a supplementary sample of very high income households drawn from a tax‐file sample frame, is the first U.S. survey since the 1963 Survey of Financial Characteristics of Consumers that offers hope of accurately measuring the entire wealth distribution. In this paper, we discuss the design of the survey, the critical issue of proper weighting to merge the supplementary sample with an area probability sample, and the role of imputation. We show that the use of ordinary area probability samples alone leads to probable bias in the measurement of highly concentrated assets such as stocks and bonds. We compare the SCF data with aggregates derived from the flow‐of‐funds accounts of the Federal Reserve Board. While methodological issues cloud exact comparisons, it appears overall that the SCF estimates are at least as credible as other aggregate measurements. Finally, we use the data to assess the change in concentration of wealth from 1963 to 1983. We estimate that the concentration of wealth in terms of households did not change significantly over this period.