Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-25T17:13:18.707Z Has data issue: false hasContentIssue false
  • English
  • Français

Impacts of Flu/Cold Incidences and Retail Orange Juice Promotion on Orange Juice Demand

Published online by Cambridge University Press:  15 September 2016

Jonq-Ying Lee  and
Mark G. Brown
Jonq-Ying Lee
Affiliation:
Florida Department of Citrus in Gainesville, Florida
Mark G. Brown
Affiliation:
Florida Department of Citrus in Gainesville, Florida
Get access

Abstract

In this study, we examine the impacts of retail promotions and flu/cold incidences on the demand for orange juice using weekly Nielsen grocery orange juice sales statistics and the flu/cold incidences reported by Surveillance Data Inc. The cross-section time-series pooling technique proposed by Parks was used to estimate the demand parameters. Results show that flu/cold incidences increased the effectiveness of retail promotions on the demand for orange juice.

Keywords

retail promotionflucoldorange juicedemand
Type
Contributed Papers
Information
Agricultural and Resource Economics Review , Volume 38 , Issue 3 , December 2009 , pp. 338 - 344
Copyright
Copyright © 2009 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, T.W., Beaton, G.H., Cotey, P., and Spero, L. 1975. “Winter Illness and Vitamin C: the Effect of Relative Low Doses.” Canadian Medical Association Journal 112(7): 823–826.Google ScholarPubMed
Belsley, F.A., Kuh, E., and Welsch, R.E. 1980. Regression Diagnostics. New York: John Wiley & Sons, Inc.Google Scholar
Brown, M.G. and Lee, J. 1992. “A Dynamic Differential Demand System: An Application of Translation.” Southern Journal of Agricultural Economics 24(2): 1–10.Google Scholar
Brown, M.G., Behr, R.M., and Lee, J. 1994. “Conditional Demand and Endogeneity? A Case Study of Demand for Juice Products.” Journal of Agricultural and Resource Economics 19(1): 129–140.Google Scholar
Brown, M.G. 2008. “Impact of Income on Price and Income Responses in the Differential Demand System.” Journal of Agricultural and Applied Economics 40(2): 593–608.Google Scholar
Brown, M.G. and Lee, J. 2007. “Impacts of Promotional Tactics in a Conditional Demand System for Beverages.” Journal of Agribusiness 25(2): 147–162.Google Scholar
Buse, A. 1973. “Goodness of Fit in Generalized Least Squares Estimation.” American Statistician 27(3): 106–108.Google Scholar
Da Silva, J.G.C. 1975. “The Analysis of Cross-Sectional Time Series Data.” Ph.D. dissertation, Department of Statistics, North Carolina State University.Google Scholar
Fuller, W.A. and Battese, G.E. 1974. “Estimation of Linear Models with Crossed-Error Structure.” Journal of Econometrics 2(1): 64–68.Google Scholar
Hammond, S. and Wiggin, G. 2008. “EU 27 Citrus Annual 2008.” GAIN Report E48048, Foreign Agricultural Service, USDA.CrossRefGoogle Scholar
Karlowski, T.R., Chalmers, T.C., Frenkel, L.D., Kapikian, A.Z., Lewis, T.L., and Lynch, J.M. 1975. “Ascorbic Acid for the Common Cold, a Prophylactic and Therapeutic Trail.” JAMA 231(10): 1038–1042.Google Scholar
Lee, J. 2007. “Orange-juice and Grapefruit-Juice Contributions to Nutrient Intakes by Americans.” Staff Report 2007-1, EMRD/Florida Department of Citrus.Google Scholar
Lee, J., Brown, M.G., and Chung, R.H. 2009. “The Impacts of Retail Promotions on the Demand for OJ: A Study of a Retail Chain.” Journal of Food Products Marketing 15(2): 1–15.Google Scholar
Mundlak, Y. 1978. “On the Pooling of Time Series and Cross Section Data.” Econometrica 46(1): 69–85.Google Scholar
Parks, R.W. 1967. “Efficient Estimation of a System of Regression Equations When Disturbances Are Both Serially and Contemporaneously Correlated.” Journal of the American Statistical Association 62(317): 500–509.Google Scholar