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Temporal Aggregation and Treatment of Zero Dependent Variables in the Estimation of Food Demand using Cross-Sectional Data

  • Leffler, Kristyn K.
  • Carpio, Carlos E.
  • Boonsaeng, Tullaya

This study analyzes U.S. consumers' demand for eight food commodity groups: Cereal and Bakery goods, Meat and Eggs, Dairy, Fruits and Vegetables, Nonalcoholic Beverages, Fats and Oils, Sugar and Sweets, and Miscellaneous goods. The data used in this study is Nielsen Homescan data for the period 2002-2006. Two different levels of temporal aggregation, monthly and the average month within a year, referred to as "annual" were considered. We conclude that the models using monthly data closely approximate the underlying annual expenditure elasticities, but do a poor job of estimating own- and -cross price elasticities and marginal effects. This finding is true for both the uncensored model of Blundell and Meghir (1987), and the two-step censored model of Shonkwiler and Yen (1999). We also find that the more complex two-step censored model does not improve precision of the estimates over the simpler model.

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Paper provided by Agricultural and Applied Economics Association in its series 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington with number 124913.

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Date of creation: 2012
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Handle: RePEc:ags:aaea12:124913
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  1. 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, 09.
  2. Yen, Steven T. & Lin, Biing-Hwan, 2004. "A Sample Selection Approach To Censored Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 20082, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Albert J. Reed & J. William Levedahl & Charles Hallahan, 2005. "The Generalized Composite Commodity Theorem and Food Demand Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 28-37.
  4. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
  5. K.W. Clements & E.A. Selvanathan & S. Selvanathan, 1996. "Applied Demand Analysis: A survey," Economics Discussion / Working Papers 96-04, The University of Western Australia, Department of Economics.
  6. Chouinard, Hayley H & Davis, David E. & LaFrance, Jeffrey T. & Perloff, Jeffrey M, 2005. "The Effects of a Fat Tax on Dairy Products," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt60t1f3tn, Department of Agricultural & Resource Economics, UC Berkeley.
  7. Jean Kinsey & Ben Senauer, 1996. "Consumer Trends and Changing Food Retailing Formats," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1187-1191.
  8. R. Blundell & Jean-Marc Robin, 2000. "Latent separability: grouping goods without weak separability," Sciences Po publications info:hdl:2441/f0uohitsgqh, Sciences Po.
  9. 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.
  10. Meghir, Costas & Robin, Jean-Marc, 1992. "Frequency of purchase and the estimation of demand systems," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 53-85.
  11. Okrent, Abigail M. & Alston, Julian M., 2010. "The Demand for Food in the United States: A Review of the Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61674, Agricultural and Applied Economics Association.
  12. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
  13. 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.
  14. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
  15. Arthur Lewbel & Krishna Pendakur, 2006. "Tricks With Hicks: The EASI Demand System," Boston College Working Papers in Economics 651, Boston College Department of Economics, revised 26 Nov 2008.
  16. Brown, Mark G. & Behr, Robert M. & Lee, Jonq-Ying, 1994. "Conditional Demand And Endogeneity? A Case Study Of Demand For Juice Products," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), July.
  17. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
  18. Carlos E. Carpio & Michael K. Wohlgenant, 2010. "A general two-constraint model of consumer demand," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 37(4), pages 433-452, December.
  19. 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.
  20. John Gibson & Bonggeun Kim, 2012. "Testing the Infrequent Purchases Model Using Direct Measurement of Hidden Consumption from Food Stocks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 257-270.
  21. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
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