Abstract
Jennifer Edgar and Jeffrey M. Gonzalez "
Correlates of Data Quality in the Consumer Expenditure Quarterly Interview Survey"
The Consumer Expenditure Quarterly Interview Survey (CEQ) is an ongoing panel
survey which collects detailed expenditure information from a national sample of
households. High data quality is essential to accurately reflect the spending habits of
American consumers. This study examines CEQ data quality in terms of the editing
required during the data processing phase. Editing methods include imputation of item
missing data and allocation of expenses reported in aggregate across different items. We
explore the relationship between this measure of data quality and a variety of covariates,
including respondent characteristics (e.g., educational attainment), household
characteristics (e.g., relationship of persons living within the household), and interview
characteristics (e.g., use of interviewing aids). We find that many of these factors are
significantly associated with data quality.
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