The Potential Use of In-Home Scanner Technology for Budget Surveys

Andrew Leicester

This chapter is a preliminary draft unless otherwise noted. It may not have been subjected to the formal review process of the NBER. This page will be updated as the chapter is revised.

Chapter in forthcoming NBER book Improving the Measurement of Consumer Expenditures, Christopher Carroll, Thomas Crossley, and John Sabelhaus, editors
Conference held December 2-3, 2011
Forthcoming from University of Chicago Press
in NBER Book Series Studies in Income and Wealth

We consider that role in-home barcode scanner data could play in national budget surveys. We make detailed comparisons of food and drink expenditures in two British datasets: the Living Costs and Food Survey (the main budget survey) and Kantar Worldpanel scanner data. We find that levels of spending are significantly lower in scanner data, but that patterns of spending across food commodities are much more similar. A large part (but not all) of the levels gap is explained by weeks in which no spending at all is recorded in scanner data; however, demographic differences between the survey samples accentuate rather than close the gap. The period over which households are observed in scanner data changes the distribution of food group budget shares, but not the mean share, suggesting that short periods of observation common in budget surveys are good at picking up average spending patterns but not necessarily variation across households. We also find that observable sample demographics in the scanner data explain little of the variation in store-specific expenditure patterns, and caution against using scanner data to impute detailed household-level spending patterns on the basis of aggregate food spending.

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This paper was revised on February 21, 2014

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This chapter first appeared as NBER working paper w19536, The Potential use of In-home Scanner Technology for Budget Surveys, Andrew Leicester
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