Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Journal of Agricultural & Food Industrial Organization

Ed. by Azzam, Azzeddine

CiteScore 2017: 0.76

SCImago Journal Rank (SJR) 2017: 0.325
Source Normalized Impact per Paper (SNIP) 2017: 0.402

See all formats and pricing
More options …

Promotion Carryover as a Missing-Data Problem

Garth J. Holloway / Osman Aydogus
Published Online: 2004-02-19 | DOI: https://doi.org/10.2202/1542-0485.1053

An important feature of agribusiness promotion programs is their lagged impact on consumption. Efficient investment in advertising requires reliable estimates of these lagged responses and it is desirable from both applied and theoretical standpoints to have a flexible method for estimating them. This note derives an alternative Bayesian methodology for estimating lagged responses when investments occur intermittently within a time series. The method exploits a latent-variable extension of the natural-conjugate, normal-linear model, Gibbs sampling and data augmentation. It is applied to a monthly time series on Turkish pasta consumption (1993:5-1998:3) and three, non-consecutive promotion campaigns (1996:3, 1997:3, 1997:10). The results suggest that responses were greatest to the second campaign, which allocated its entire budget to television media; that its impact peaked in the sixth month following expenditure; and that the rate of return (measured in metric tons additional consumption per thousand dollars expended) was around a factor of 20.

Keywords: promotion carryover; missing data; data augmentation; Gibbs sampling.

About the article

Published Online: 2004-02-19

Citation Information: Journal of Agricultural & Food Industrial Organization, Volume 2, Issue 1, ISSN (Online) 1542-0485, DOI: https://doi.org/10.2202/1542-0485.1053.

Export Citation

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston.Get Permission

Comments (0)

Please log in or register to comment.
Log in