Understanding differences in self-reported expenditures between household scanner data and diary survey data: A comparison of homescan and consumer expenditure survey

Review of Agricultural Economics

Volumn 31, Issue 3, 2009, Pages 470-492

  Zhen, Chen ^a   Taylor, Justin L ^a   Muth, Mary K ^a   Leibtag, Ephraim ^b  

^a RTI INTERNATIONAL   (United States)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70350103054     PISSN: 10587195     EISSN: 14679353     Source Type: Journal    
DOI: 10.1111/j.1467-9353.2009.01449.x     Document Type: Article

References (46)

1. Aguiar M, Hurst E. Lifecycle Prices and Production. Amer. Econ. Rev. December 2007, 97:1533-59.
2. Arnade C, Gopinath M. The Dynamics of Individuals' Fat Consumption. Amer. J. Agr. Econ. November 2006, 88:836-50.
3. Arnade C, Gopinath M, Pick D. Brand Inertia in U.S. Household Cheese Consumption. Amer. J. Agr. Econ. August 2008, 90:813-26.
4. Bronnenberg BJ, Kruger MW, Mela CF. The IRI Marketing Data Set. Marketing Sci. July-August 2008, 27:745-48.
5. Bucklin R, Gupta S. Brand Choice, Purchase Incidence, and Segmentation: An Integrated Approach. J. Marketing Res. May 1992, 29:201-15.
6. Burton M, Young T. The Impact of BSE on the Demand for Beef and Other Meats in Great Britain. Appl. Econ. June 1996, 28:687-93.
7. Chen X, Hong H, Tamer E. Measurement Error Models with Auxiliary Data. Rev. Econ. Stud. April 2005, 72:343-366.
8. Cheng H-T, Capps O. Demand Analysis of Fresh and Frozen Finfish and Shellfish in the United States. Amer. J. Agr. Econ. August 1988, 70:533-42.
9. Chern WS, Loehman ET, Yen ST. Information, Health Risk Beliefs, and the Demand for Fats and Oils. Rev. Econ. Stat. August 1995, 77:555-64.
10. Davern M, Blewett LA, Bershadsky B, Arnold N. Missing the Mark? Imputation Bias in the Current Population Survey's State Income and Health Insurance Coverage Estimates. J. Official Stat. 2004, 20:519-49.
11. Dubé J-P. Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks. Marketing Sci. Winter 2004, 23:66-81.
12. Einav L, Leibtag E, Nevo A. Not-so-Classical Measurement Errors: A Validation Study of Homescan. 2008, NBER Working Paper 14436, Cambridge, MA
13. Guadagni PM, Little JDC. A Logit Model of Brand Choice Calibrated on Scanner Data. Marketing Sci. Summer 1983, 2:203-38.
14. Gupta S, Chintagunta PK. On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models. J. Marketing Res. February 1994, 31:128-36.
15. Harris MJ, Blisard N. Characteristics of the Nielsen Homescan Data. 2005, Working Paper, U.S. Department of Agriculture, Economic Research Service
16. Hausman J, Leibtag E. Consumer Benefits from Increased Competition in Shopping Outlets: Measuring the Effect of Wal-Mart. J. Appl. Econometrics December 2007, 22:1157-77.
17. Heckman JJ. Sample Selection Bias as a Specification Error. Econometrica January 1979, 47:153-61.
18. Heien D, Durham C. A Test of the Habit Formation Hypothesis Using Household Data. Rev. Econ. Stat. May 1991, 73:189-99.
19. Hendel I, Nevo A. Measuring the Implications of Sales and Consumer Inventory Behavior. Econometrica November 2006, 74:1637-73.
20. Hong H, Tamer E. A Simple Estimator for Nonlinear Error in Variable Models. J. Econometrics November 2003, 117:1-19.
21. Hu Y, Schennach SM. Instrumental Variable Treatment of Nonclassical Measurement Error Models. Econometrica January 2008, 76:195-216.
22. Huang CL, Lin B-H. A Hedonic Analysis of Fresh Tomato Prices among Regional Markets. Rev. Agr. Econ. December 2007, 29:783-800.
23. Ippolito PM, Mathios AD. Information and Advertising: The Case of Fat Consumption in the United States. Amer. Econ. Rev. May 1995, 85:91-5.
24. Jordan M. Nielsen's Search for Hispanics Is a Delicate Job. 2004, B1. The Wall Street Journal Online Edition. October 11, p.
25. Kinnucan HW, Xiao H, Hsia C-J, Jackson JD. Effects of Health Information and Generic Advertising on U.S. Meat Demand. Amer. J. Agr. Econ. February 1997, 79:13-23.
26. Kruger MW, Pagni D. IRI Academic Data Set Description Version 1.314 2008, Analytics Research and Development, Information Resources, Inc.
27. Kuchler F, Tegene A, Harris JM. Taxing Snack Foods: Manipulating Diet Quality or Financing Information Program. Rev. Agr. Econ. Spring 2005, 27:4-20.
28. Kuchler F, Tegene A. Did BSE Announcements Reduce Beef Purchases 2006, Washington, DC, U.S. Department of Agriculture, Economic Research Service, Economic Research Report 34
29. Lee J-Y, Brown MG. Food Expenditures at Home and Away from Home in the United States-A Switching Regression Analysis. Rev. Econ. Stat. February 1986, 68:142-47.
30. Leibtag E. The Impact of Food Price Variation on WIC Food Costs. 2008, Washington, DC, 9-11 March
31. Lewbel A. Demand Estimation with Expenditure Measurement Errors on the Left and Right Hand Side. Rev. Econ. Stat. November 1996, 78:718-25.
32. Muth MK, Siegel EH, Zhen C. ERS Data Quality Study Design. Final Report, Research Triangle Park 2007, NC, RTI International
33. Nevo A. A Practitioner's Guide to Estimation of Random-Coefficients Logit Models of Demand. J. Econ. Manag. Strat. December 2000, 9:513-48.
34. Piggott NE, Marsh TL. Does Food Safety Information Impact U.S. Meat Demand. Amer. J. Agr. Econ. February 2004, 86:154-74.
35. Richards TJ, Patterson PM, Tegene A. Nutrient Consumption and Obesity: A Rational Addiction. Contemporary Econ. Policy July 2007, 25:309-24.
36. Rossi PE, McCulloch RE, Allenby GM. The Value of Purchase History Data in Target Marketing. Marketing Sci. 1996, 15:321-40.
37. Schennach SM. Estimation of Nonlinear Models with Measurement Error. Econometrica January 2004, 72:33-75.
38. Schlenker W, Villas-Boas SB. Consumer and Market Responses to Mad-Cow Disease. Amer. J. Agr. Econ.
39. Shum M. Does Advertising Overcome Brand Loyalty? Evidence from the Breakfast-Cereals Market. J. Econ. Manag. Strat. June 2004, 13:241-72.
40. Silberberg E. Nutrition and the Demand for Tastes. J. Pol. Econ. October 1985, 93:881-900.
41. Stewart H, Harris JM. Obstacles to Overcome in Promoting Dietary Variety: The Case of Vegetables. Rev. Agr. Econ. Spring 2005, 27:21-36.
42. 2005 Consumer Expenditure Diary Survey, Public Use Microdata Documentation 2007, U.S. Department of Labor, Bureau of Labor Statistics, Division of Expenditure Surveys, Washington, DC
43. Wessells CR, Anderson JG. Consumer Willingness to Pay for Seafood Safety Assurances. J. Consum. Aff. Summer 1995, 29:85-107.
44. White H. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica May 1980, 48:817-38.
45. Zar JH. Significance Testing of the Spearman Rank Correlation Coefficient. J. Amer. Statist. Assoc. September 1972, 67:578-80.
46. Zhen C, Taylor J, Muth MK, Siegel PH. Comparing Food-at-Home Expenditures across Datasets. 2008, Final Report, Research Triangle Park, NC, RTI International