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A Comparison of Food Demand Estimation from Homescan and Consumer Expenditure Survey Data

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  • Boonsaeng, Tullaya
  • Carpio, Carlos E.
Abstract
This study evaluates the differences between the Exact Affine Stone Index (EASI) demand model estimates obtained using Consumer Expenditure Survey (CEX) data and Nielsen Homescan data. Results indicated that elasticities obtained from CEX and Homescan data–based demand models differ not only statistically but also economically. Own-price elasticities obtained from the CEX data–based demand model were more inelastic than those obtained from the demand model estimated using Homescan data. Further, differences between expenditure elasticities did not follow a specific pattern. We found evidence suggesting that the main source of differences is the price index used for the estimation.

Suggested Citation

  • Boonsaeng, Tullaya & Carpio, Carlos E., 2019. "A Comparison of Food Demand Estimation from Homescan and Consumer Expenditure Survey Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 44(1), January.
    • Handle: RePEc:ags:jlaare:281316
    DOI: 10.22004/ag.econ.281316
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    References listed on IDEAS

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    1. Stewart, Hayden & Yen, Steven T., 2004. "Changing household characteristics and the away-from-home food market: a censored equation system approach," Food Policy, Elsevier, vol. 29(6), pages 643-658, December.
    2. Richard Blundell & Jean-Marc Robin, 2000. "Latent Separability: Grouping Goods without Weak Separability," Econometrica, Econometric Society, vol. 68(1), pages 53-84, January.
    3. Helen H. Jensen & Steven T. Yen, 1996. "Food Expenditures Away From Home by Type of Meal," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 44(1), pages 67-80, March.
    4. 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.
    5. Arthur Lewbel & Krishna Pendakur, 2009. "Tricks with Hicks: The EASI Demand System," American Economic Review, American Economic Association, vol. 99(3), pages 827-863, June.
    6. Fred Kuchler & Abebayehu Tegene & J. Michael Harris, 2005. "Taxing Snack Foods: Manipulating Diet Quality or Financing Information Programs?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(1), pages 4-20.
    7. Todd, Jessica E. & Mancino, Lisa & Leibtag, Ephraim S. & Tripodo, Christina, 2010. "Methodology Behind the Quarterly Food-at-Home Price Database," Technical Bulletins 97799, United States Department of Agriculture, Economic Research Service.
    8. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
    9. Chen Zhen & Michael K. Wohlgenant & Shawn Karns & Phillip Kaufman, 2010. "Habit Formation and Demand for Sugar-Sweetened Beverages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 175-193.
    10. Lopez, Jose Antonio, 2011. "A Comparison of Imputation Methods under Large Samples and Different Censoring Levels (PowerPoint)," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 109894, Agricultural and Applied Economics Association.
    11. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    12. repec:hal:spmain:info:hdl:2441/f0uohitsgqh8dhk9820172631 is not listed on IDEAS
    13. Patrick J. Byrne & Oral Capps & Atanu Saha, 1996. "Analysis of Food-Away-from-Home Expenditure Patterns for U.S. Households, 1982–89," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 614-627.
    14. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    15. Fred Kuchler & Abebayehu Tegene & J. Michael Harris, 2005. "Taxing Snack Foods: Manipulating Diet Quality or Financing Information Programs?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(1), pages 4-20.
    16. Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "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, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492, September.
    17. Steven Yen & Kamhon Kan & Shew-Jiuan Su, 2002. "Household demand for fats and oils: two-step estimation of a censored demand system," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1799-1806.
    18. Todd, Jessica E. & Mancino, Lisa & Leibtag, Ephraim S. & Tripodo, Christina, 2010. "Methodology Behind Quarterly Food- at- Home Price Database," Technical Bulletins 184309, United States Department of Agriculture, Economic Research Service.
    19. Hoderlein, Stefan & Mihaleva, Sonya, 2008. "Increasing the price variation in a repeated cross section," Journal of Econometrics, Elsevier, vol. 147(2), pages 316-325, December.
    20. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    21. Andreas C. Drichoutis & Stathis Klonaris & Panagiotis Lazaridis & Rodolfo M. Nayga, 2008. "Household food consumption in Turkey: a comment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 35(1), pages 93-98, March.
    22. Lopez, Jose Antonio, 2011. "A Comparison of Price Imputation Methods under Large Samples and Different Levels of Censoring," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 104498, Agricultural and Applied Economics Association.
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    3. Jeon, Younghyeon & Hoang, Hoa K. & Thompson, Wyatt & Abler, David & Miller, J. Isaac, 2022. "Revealing the fundamental parameters of a food demand system using estimated elasticities," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322182, Agricultural and Applied Economics Association.
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    5. Younghyeon Jeon & Hoa Hoang & Wyatt Thompson & David Abler, 2024. "A meta‐analysis of U.S. food demand elasticities to detect the impacts of scanner data," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 760-780, June.

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