IDEAS home Printed from https://ideas.repec.org/a/ags/jloagb/14660.html

Excise Taxes And Commodity Promotion: Bayesian Retrieval Of The Optimum

Author

Listed:
  • Holloway, Garth J.

Abstract

This article shows how the solution to the promotion problem--the problem of locating the optimal level of advertising in a downstream market--can be derived simply, empirically, and robustly through the application of some simple calculus and Bayesian econometrics. We derive the complete distribution of the level of promotion that maximizes producer surplus and generate recommendations about patterns as well as levels of expenditure that increase net returns. The theory and methods are applied to quarterly series (1978:2S1988:4) on red meats promotion by the Australian Meat and Live-Stock Corporation. A slightly different pattern of expenditure would have profited lamb producers.

Suggested Citation

  • Holloway, Garth J., 2000. "Excise Taxes And Commodity Promotion: Bayesian Retrieval Of The Optimum," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 18(2), pages 1-20.
  • Handle: RePEc:ags:jloagb:14660
    DOI: 10.22004/ag.econ.14660
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/14660/files/18020135.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.14660?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. H. W. Kinnucan, 1996. "A Note On Measuring Returns To Generic Advertising In Interrelated Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 261-267, January.
    2. Kinnucan, Henry W. & Chang, Hui-Shung (Christie) & Venkateswaran, Meenakshi, 1993. "Generic Advertising Wearout," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 61(03), pages 1-15, December.
    3. Dreze, Jacques H. & Richard, Jean-Francois, 1983. "Bayesian analysis of simultaneous equation systems," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 9, pages 517-598, Elsevier.
    4. Holloway, Garth J., 1998. "Excise Taxes and Commodity Promotion: A Diagrammatic Motivation," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 16(2), pages 1-6.
    5. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Holloway, Garth J. & Peyton, L. James & Griffith, Garry R., 2000. "Was the Australian Meat and Live-stock Corporation's advertising efficient?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(01), pages 1-27.
    2. Holloway Garth J. & Aydogus Osman, 2004. "Promotion Carryover as a Missing-Data Problem," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 2(1), pages 1-18, February.
    3. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    4. Xiao, Hui & Kinnucan, Henry W. & Kaiser, Harry M., 1998. "Advertising, Structural Change, And U.S. Non-Alcoholic Beverage Demand," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20885, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Cardwell, Ryan T., 2004. "Is The Efficacy Of Agricultural Promotion Programs Overestimated? The Importance Of Dynamics In Advertising Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 19949, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Freebairn, John W. & Alston, Julian M., 2001. "Generic advertising without supply control: implications of funding mechanisms for advertising intensities in competitive industries," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(01), pages 1-29.
    7. Garth John Holloway, 2020. "Sustainable Land-Use Pathway Ranking and Selection," Sustainability, MDPI, vol. 12(19), pages 1-31, September.
    8. Ofer Mintz & Imran S. Currim & Ivan Jeliazkov, 2013. "Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior," Marketing Science, INFORMS, vol. 32(5), pages 716-732, September.
    9. Lapar, M. L. & Holloway, G. & Ehui, S., 2003. "Policy options promoting market participation among smallholder livestock producers: a case study from the Phillipines," Food Policy, Elsevier, vol. 28(3), pages 187-211, June.
    10. Karling, Maicon J. & Durante, Daniele & Genton, Marc G., 2024. "Conjugacy properties of multivariate unified skew-elliptical distributions," Journal of Multivariate Analysis, Elsevier, vol. 204(C).
    11. Sha Yang & Vishal Narayan & Henry Assael, 2006. "Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model," Marketing Science, INFORMS, vol. 25(4), pages 336-349, July.
    12. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
    13. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
    14. Parke E. Wilde, 2007. "Federal Communication about Obesity in the Dietary Guidelines and Checkoff Programs," Chapters, in: Zoltán J. Ács & Alan Lyles (ed.), Obesity, Business and Public Policy, chapter 9, Edward Elgar Publishing.
    15. Carsten Botts, 2013. "An accept-reject algorithm for the positive multivariate normal distribution," Computational Statistics, Springer, vol. 28(4), pages 1749-1773, August.
    16. Ho-Chuan River Huang, 2001. "Bayesian analysis of the dividend behaviour," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 333-339.
    17. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney, 2012. "Bayesian model averaging in the instrumental variable regression model," Journal of Econometrics, Elsevier, vol. 171(2), pages 237-250.
    18. Steel, M.F.J., 1989. "Weak exogeneity in misspecified sequential models," Discussion Paper 1989-42, Tilburg University, Center for Economic Research.
    19. David Gunawan & William Griffths & Anatasios Panagiotelis and Duangkamon Chotikapanich, 2017. "Bayesian Weighted Inference from Surveys "Abstract: Data from large surveys are often supplemented with sampling weights that are designed to reflect unequal probabilities of response and selection inherent in complex survey sampling methods. We," Department of Economics - Working Papers Series 2030, The University of Melbourne.
    20. Pholo Bala, Alain, 2009. "Urban concentration and economic growth: checking for specific regional effects," LIDAM Discussion Papers CORE 2009038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jloagb:14660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeaggea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.