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Reliability of Self-reports of Financial Data in Surveys: Results From the Health and Retirement Study

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This article reports an investigation of errors of measurement in self-reports of financial data in the Health and Retirement Study (HRS), one of the major social science data resources available to those who study the demography and economics of aging. Results indicate significantly lower levels of reporting reliability of the composite variables in the HRS relative to those found for ‘‘summary’’ income approaches used in other surveys. Levels of reliability vary by type of income source—reports of monthly benefit levels from sources such as Social Security or the Veterans Administration achieve near-perfect levels of reliability, whereas somewhat less regular sources of household income that vary across time in their amounts are measured less reliably. One major area of concern resulting from this research, which may be beneficial to users of the HRS surveys, involves the use of imputation in the handling of missing data. We found that imputation of values for top-
end open income brackets can produce a substantial number of outliers that affect sample estimates of relationships and levels of reliability. Imputed income values in the HRS should be used with great care.

Keywords: measurement, survey errors, income reports, Health and Retirement Study, reliability

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Informasi Detail

Judul Seri

Sociological Methods & Research

No. Panggil

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Penerbit

New York : SAGE Publications Ltd., 2014

Deskripsi Fisik

Sociological Methods & Research 2014, Vol 43(1) 98-136

Bahasa

English

ISBN/ISSN

DOI: 10.1177/0049124

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2014, Vol 43(1)

Subjek

METODOLOGI PENELITIAN SOSIAL

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

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