Print Advertisement Characteristics and Apple Variety Attraction: A Mimic Model Approach
A structural latent variable model of apple variety demand is used to analyze the effect of variety specific newspaper advertisement characteristics on variety attraction (preferences), and in turn on variety demand. The influence of advertisement size, the use of color and the Washington apple logo were analyzed. The estimated variety attraction variable is important in explaining demand. Model specifications which exclude this variable tend to understate demand elasticities. Advertisement size has a positive impact on Granny Smith, Fuji, and Gala sales. Red Delicious sales are positively influenced by color ads, but negatively affected by ads with the Washington apple logo.
|Date of creation:||1998|
|Contact details of provider:|| Phone: (480) 727-1585|
Web page: http://www.east.asu.edu/msabr
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John L. Park & Oral Capps, 1997. "Demand for Prepared Meals by U.S. Households," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 814-824.
- Henry W. Kinnucan & Maria Thomas, 1997. "Optimal Media Allocation Decisions For Generic Advertisers," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1-3), pages 425-441.
- Anderson, T. W., 1989. "Linear latent variable models and covariance structures," Journal of Econometrics, Elsevier, vol. 41(1), pages 91-119, May.
- Eric J. Wailes & Gail L. Cramer, 1997. "A Microeconometric Analysis of Consumer Taste Determination and Taste Change for Beef," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 573-582.
- Ivaldi, Marc & Monier-Dilhan, Sylvette & Simioni, Michel, 1995. "Stochastic production frontiers and panel data: A latent variable framework," European Journal of Operational Research, Elsevier, vol. 80(3), pages 534-547, February.
When requesting a correction, please mention this item's handle: RePEc:ags:asumwp:28537. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.