Not-So-Classical Measurement Errors: A Validation Study of Homescan
We report results from a validation study of Nielsen Homescan data. We use data from a large grocery chain to match thousands of individual transactions that were recorded by both the retailer (at the store) and the Nielsen Homescan panelist (athome). First, we report how often shopping trips are not reported, and how often trip information, product information, price, and quantity are reported with error. We focus on recording errors in prices, which are more prevalent, and show that they can be classified to two categories, one due to standard recording errors, the other due to how Nielsen constructs the price data. We then show how the validation data can be used to correct the impact of recording errors on estimates obtained from Nielsen Homescan data. We use a simple application to illustrate the impact of recording errors as well as the ability to correct for these errors. The application suggests that while recording errors are present, and potentially impact results, corrections, like the one we employ, can be adopted by users of Homescan data to investigate the robustness of their results.
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- Mark Aguiar & Erik Hurst, 2005.
"Lifecycle Prices and Production,"
NBER Working Papers
11601, National Bureau of Economic Research, Inc.
- Christian Broda & David E. Weinstein, 2008. "Understanding International Price Differences Using Barcode Data," NBER Working Papers 14017, National Bureau of Economic Research, Inc.
- Jean-Pierre Dubé, 2004. "Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks," Marketing Science, INFORMS, vol. 23(1), pages 66-81, September.
- Jerry Hausman & Ephraim Leibtag, 2005.
"Consumer Benefits from Increased Competition in Shopping Outlets: Measuring the Effect of Wal-Mart,"
NBER Working Papers
11809, National Bureau of Economic Research, Inc.
- Jerry Hausman & Ephraim Leibtag, 2007. "Consumer benefits from increased competition in shopping outlets: Measuring the effect of Wal-Mart," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1157-1177.
- Jerry Hausman & Ephraim Leibtag, 2006. "Consumer Benefits from Increased Competition in Shopping Outlets: Measuring the Effect of Wal-Mart," CeMMAP working papers CWP06/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Han Hong & Elie Tamer, 2005. "Measurement Error Models with Auxiliary Data," Review of Economic Studies, Oxford University Press, vol. 72(2), pages 343-366.
- Einav, Liran & Leibtag, Ephraim S. & Nevo, Aviv, 2008. "On the Accuracy of Nielsen Homescan Data," Economic Research Report 56490, United States Department of Agriculture, Economic Research Service.
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