Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey |
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| Authors: | Chen Zhen Justin L. Taylor Mary K. Muth Ephraim Leibtag |
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| Affiliation: | Chen Zhen is a research economist with the Food and Agricultural Policy Research Program, RTI International, North Carolina.;Justin L. Taylor is a research associate at Washington State University and formerly at RTI International, North Carolina.;Mary K. Muth is a senior economist and director of the Food and Agricultural Policy Research Program, RTI International, North Carolina.;Ephraim Leibtag is an economist with the Economic Research Service at U.S. Department of Agriculture. |
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| Abstract: | Household scanner data contain rich information on household demographics and transactions in actual markets over a long time period. To more fully understand the characteristics of these data, we conducted an analysis to determine whether household expenditures in the Nielsen Homescan panel are similar to the Bureau of Labor Statistic's Consumer Expenditure Diary Survey. We found that many differences in reported expenditures across the two datasets can be explained by such household demographics as female head, income, and household size, for example. The largest degrees of discrepancies across datasets occur for food categories containing more random-weight foods without universal product codes. |
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