Disaggregated household meat demand with censored data

Applied Economics

Volumn 43, Issue 18, 2011, Pages 2343-2363

  Coffey, Brian K ^a   Schroeder, Ted C ^b   Marsh, Thomas L ^c  

^a Technol University of Tajikistan   (Tajikistan)

^b KANSAS STATE UNIVERSITY   (United States)

^c WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CONSUMPTION BEHAVIOR; DEMAND ANALYSIS; FOOD MARKET; HOUSEHOLD EXPENDITURE; MEAT; PANEL DATA; RESEARCH WORK;

EID: 79960826528     PISSN: 00036846     EISSN: 14664283     Source Type: Journal    
DOI: 10.1080/00036840903194238     Document Type: Article

References (55)

1. Alston, J. M., Chalfant, J. A. and Piggott, N. E. (2000) The incidence of the costs and benefits of generic advertis-ing, American Journal of Agricultural Economics, 82, 665-71.
2. Anupindi, R., Dada, M. and Gupta, S. (1998) Estimation of consumer demand with stock-out based substitu-tion: an application to vending machine products, Marketing Science, 17, 406-23.
3. Barten, A. P. (1977) The systems of consumer demand functions approach: a review, Econometrica, 45, 23-51.
4. Blockstael, N. E. and McConnell, K. E. (1993) Public goods as characteristics of non-market commodities, Economic Journal, 103, 1244-57.
5. Blundell, R., Pashardes, P. and Weber, G. (1993) What do we learn about consumer demand patterns from micro data?, American Economic Review, 83, 570-97.
6. Breiman, L., Tsur, Y. and Zemel, A. (1993) On a simple estimation for censored regression models with known error distribution, The Annals of Statistics, 21, 1711-20.
7. Brester, G. W. and Schroeder, T. C. (1995) The impacts of brand and generic advertising on meat demand, American Journal of Agricultural Economics, 77, 969-79.
8. Brester, G. W. and Wohlgenant, M. K. (1991) Estimating interrelated demands for meats using new measures for ground and table cut beef, Review of Agricultural Economics, 13, 1182-94.
9. Brown, D. J. and Schrader, L. F. (1990) Information on cholesterol and shell egg consumption, American Journal of Agricultural Economics,73,548-55.
10. Bureau of Labor Statistics (BLS) (1992-2000) Consumer price indexes: average price data, selected products, United States Department of Labor. Available at http://www.bls.gov/cpi/home.htm (accessed 12 August 2009).
11. Burton, M. and Young, T. (1996) The impact of BSE on the demand for beef and other meats in Great Britain, Applied Economics, 28, 687-93.
12. Capps Jr, O. (1989) Scanner data to estimate retail demand functions for meat products, American Journal of Agricultural Economics, 71, 750-60.
13. Capps Jr, O. and Park, J. (2002) Impacts of advertising, attitudes, lifestyles, and health on the demand for US pork: a micro-level analysis, Journal of Agricultural and Applied Economics, 34, 1-15.
14. Chern, W. S. (2003) Health, nutrition and demand for food: an American perspective, in Health, Nutrition, and Food Demand(Eds) W. S. Chern and K. Rickertsen, CABI Publishing, Cambridge, MA, pp. 91-103.
15. Chern, W. S. and Rickertsen, K. (Eds) (2003) Health, Nutrition, and Food Demand, CABI Publishing, Cambridge, MA.
16. Chern, W. S. and Zuo, J. (1995) Alternative measures of changing consumer information on fat and cholesterol, in Annual Meeting of the American Association of Agricultural Economics, Indianapolis, IN.
17. Chern, W. S. and Zuo, J. (1997) Impacts of changing health information of fat and cholesterol on consumer demand: application of new indices, Discussion Paper No. 443, Institute of Social and Economic Research, Osaka University, Osaka, Japan.
18. Cox, T. L. and Wohlgenant, M. K. (1986) Prices and quality effects in cross-sectional demand analysis, American Journal of Agricultural Economics, 68, 908-19.
19. Deaton, A. (1987) Estimation of own- and cross-price elasticities from household survey data, Journal of Econometrics, 36, 7-30.
20. Deaton, A. (1988) Quantity, quality, and spatial variation of prices, American Economic Review, 78, 418-33.
21. Deaton, A. and Muellbauer, J. (1980) An almost ideal demand system, American Economic Review, 70, 312-26.
22. Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society B, 39, 1-38.
23. Dong, D., Gould, B. W. and Kaiser, H. M. (2004) Food demand in Mexico: an application of the Amemiya-Tobin framework to the estimation of a censored food system, American Journal of Agricultural Economics, 86, 1094-107.
24. Dong, D., Shonkwiler, J. S. and Capps Jr, O. (1998) Estimation of demand functions using cross-sectional household data: the problem revisited, American Journal of Agricultural Economics, 80, 466-73.
25. Eales, J. S. and Unnevehr, L. J. (1988) Demand for beef and chicken products: separability and structural change, American Journal of Agricultural Economics, 70, 521-32.
26. Eales, J. S. and Unnevehr, L. J. (1993) Simultaneity and structural change in US meat demand, American Journal of Agricultural Economics, 75, 259-68.
27. Efron, B. (1994) Missing data, imputation and the boot-strap (with discussion), Journal of the American Statistical Association, 89, 463-79.
28. Foster, W. and Just, R. E. (1989) Measuring welfare effects of product contamination with consumer uncertainty, Journal of Environmental Economics and Management, 17, 266-83.
29. Golan, A., Perloff, J. M. and Shen, E. Z. (2001) Estimating a demand system with nonnegativity constraints: Mexican meat demand, Review of Economics and Statistics, 83, 541-50.
30. Green, R. and Alston, J. M. (1990) Elasticities in AIDS models, American Journal of Agricultural Economics, 72, 442-5.
31. Heien, D. and Wessells, C. R. (1990) Demand system estimation with microdata: a censored regression approach, Journal of Business and Economic Statistics, 8, 365-71.
32. Houthakker, H. S. (1952) Compensated changes in quantities and qualities consumed, Review of Economic Studies, 19, 155-64.
33. Huang, C. J., Sloan, F. A. and Adamache, K. W. (1987) Estimation of seemingly unrelated regressions via the EM algorithm, Journal of Business and Economic Statistics, 5, 425-30.
34. Kim, S. R. and Chern, W. S. (1997a) Indicative measures of health-risk information on fat and cholesterol for US and Japanese consumers, Consumer Interest Annual, 43, 84-9.
35. Kim, S. R. and Chern, W. S. (1997b) Alternative measures of health information and demand for fats and oils in Japan, Journal of Consumer Affairs, 33, 92-109.
36. Kinnucan, H. W., Ziao, J., Hsia, C. J. and Jackson, J. D. (1997) Effects of health information and generic advertising on US meat demand, American Journal of Agricultural Economics, 79, 13-23.
37. Lamb, R. L. and Beshear, M. (1998) From the plains to the plate: can the beef industry regain market share?, Federal Reserve Bank of Kansas City, Economic Review, 83, 49-66.
38. Marsh, T. L., Schroeder, T. C. and Mintert, J. (2004) Impacts of meat product recalls on consumer demand in the US, Applied Economics, 36, 897-909.
39. McGuirk, A., Driscoll, P., Alwang, J. and Huang, H. (1995) System misspecification testing and structural change in demand for meats, Journal of Agricultural and Resource Economics, 20, 1-21.
40. McLachlan, G. and Krishnan, T. (1997) The EM Algorithm and Extensions, Wiley Series in Probability and Statistics, John Wiley & Sons, New York.
41. Meyerhoefer, C. D., Ranney, C. K. and Sahn, D. E. (2005) Consistent estimation of censored demand systems using panel data, American Journal of Agricultural Economics, 87, 660-72.
42. Mittlehammer, R. C., Shi, H. and Wahl, T. I. (1996) Aggregation bias in almost ideal demand systems, Journal of Agricultural and Resource Economics, 21, 247-62.
43. Perali, F. and Chavas, J. P. (2000) Estimation of censored demand equations from large cross section data, American Journal of Agricultural Economics, 82, 1022-37.
44. Piggott, N. E. and Marsh, T. L. (2004) Does food safety information impact US meat demand?, AmericanJournal of Agricultural Economics, 86, 154-74.
45. Piggott, N. E., Taylor, M. R. and Kuchler, F. (2007) The impacts of food safety information meat demand: a cross-commodity approach to use US household data, in American Agriculture Economics Association Meeting, Portland, Oregon, 29 July-1 August.
46. Prais, S. J. and Houthakker, H. J. (1955) The Analysis of Family Budgets, Cambridge University Press, Cambridge.
47. Purcell, W. D. (1998) Measures of changes in demand for beef, pork, and chicken, 1975-1998, in Research Bulletin 3-98, Research Institute onLivestock Pricing, Virginia Tech, Blacksburg, VA, October 1998.
48. Shonkwiler, J. S. and Yen, S. T. (1999) Two-step estimation of a censored system of equations, American Journal of Agricultural Economics, 81, 972-82.
49. Su, S. and Yen, S. T. (2000) A censored demand system of cigarette and alcohol consumption, Applied Economics, 81, 729-38.
50. Tauchman, H. (2005) Efficiency of two-step estimators for censored systems of equations: Shonkwiler and Yen reconsidered, Applied Economics, 37, 367-74.
51. Theil, H. (1952) Qualities, prices, and budget enquiries, Review of Economic Studies, 19, 129-47.
52. US Census (2000) Various tables. Available at www. uscensus.gov (accessed 12 August 2009).
53. Wales, T. J. and Woodland, A. D. (1983) Estimation of consumer demand systems with binding non-negativity constraints, Journal of Econometrics, 21,263-85.
54. Wohlgenant, M. K. (1989) Effects of changing composition of beef consumption on the elasticities for beef and poultry, in The Economics of Beef Demand (Ed.) R. C. Buse, University of Wisconsin, Madison, pp. 170-86.
55. Yen, S. T., Kan, K. and Su, S. (2002) Household demand for fats and oils; two-step estimation of a censored demand system, Applied Economics, 14, 1799-806.