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Abstract:
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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 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 data quality and a variety of variables, including respondent characteristics, size of household, interview characteristics (e.g., length of interview, use of interviewing aids) and contact history (e.g., number of contact attempts). We also compare data quality across expenditure category (e.g., utilities, clothing) and wave.
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