IDEAS home Printed from https://ideas.repec.org/p/ags/aaea01/20689.html
   My bibliography  Save this paper

Beyond The Model Specification Problem: Model And Parameter Averaging Using Bayesian Techniques

Author

Listed:
  • Bryant, Henry L.
  • Davis, George C.

Abstract

The model specification problem is perhaps the Achilles heel of applied econometrics. Rather than test down to a single model as is usually done, we estimate 72 different demand systems and use Bayesian averaging procedures over all 72 systems to generate meta estimates of the parameters (e.g., elasticities) of interest.

Suggested Citation

  • Bryant, Henry L. & Davis, George C., 2001. "Beyond The Model Specification Problem: Model And Parameter Averaging Using Bayesian Techniques," 2001 Annual meeting, August 5-8, Chicago, IL 20689, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea01:20689
    DOI: 10.22004/ag.econ.20689
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/20689/files/sp01br03.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.20689?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. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    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. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    4. Koop, Gary, 1999. "Bayesian Analysis, Computation and Communication Software," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 677-689, Nov.-Dec..
    5. Julian M. Alston & James A. Chalfant, 1993. "The Silence of the Lambdas: A Test of the Almost Ideal and Rotterdam Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 304-313.
    6. George C. Davis, 1997. "The Logic of Testing Structural Change in Meat Demand: A Methodological Analysis and Appraisal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1186-1192.
    7. Neves, Pedro Duarte, 1994. "A class of differential demand systems," Economics Letters, Elsevier, vol. 44(1-2), pages 83-86.
    8. William J. McCausland, 2004. "Using the BACC Software for Bayesian Inference," Computational Economics, Springer;Society for Computational Economics, vol. 23(3), pages 201-218, April.
    9. Pagan, Adrian, 1987. "Three Econometric Methodologies: A Critical Appraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 1(1), pages 3-24.
    10. Davis, George C., 1997. "The Formal Logic Of Testing Structural Change In Meat Demand: A Methodological Analysis," Faculty Paper Series 23975, Texas A&M University, Department of Agricultural Economics.
    11. McGuirk, Anya M. & Driscoll, Paul J. & Alwang, Jeffrey Roger & Huang, Huilin, 1995. "System Misspecification Testing And Structural Change In The Demand For Meats," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-21, July.
    12. John D. Jackson, 1997. "Effects of Health Information and Generic Advertising on U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 13-23.
    13. Gary W. Brester & Ted C. Schroeder, 1995. "The Impacts of Brand and Generic Advertising on Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 969-979.
    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. Bryant, Henry L. & Davis, George C., 2003. "Information Based Model Averaging And Internal Metanalysis In Seemingly Unrelated Regressions With An Application To A Demand System," 2003 Annual meeting, July 27-30, Montreal, Canada 21918, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Chen Zhen & Michael K. Wohlgenant, 2006. "Meat Demand under Rational Habit Persistence," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 477-495, December.
    3. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Thomas Marsh & Ted Schroeder & James Mintert, 2004. "Impacts of meat product recalls on consumer demand in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 897-909.
    5. William G. Tomek & Harry M. Kaiser, 1999. "On improving econometric analyses of generic advertising impacts," Agribusiness, John Wiley & Sons, Ltd., vol. 15(4), pages 485-500.
    6. Thiele, Silke, 2008. "Elastizitäten der Nachfrage privater Haushalte nach Nahrungsmitteln – Schätzung eines AIDS auf Basis der Einkommens- und Verbrauchsstichprobe 2003," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(05), pages 1-11.
    7. Beatrice D. Simo-Kengne & Johane Dikgang & Sunita Prugsamatz Ofstad, 2018. "Effect of marine protected areas and macroeconomic environment on meat consumption in SEAFO countries," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-13, December.
    8. Kent D. Messer & Todd M. Schmit & Harry M. Kaiser, 2005. "Optimal Institutional Mechanisms for Funding Generic Advertising: An Experimental Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1046-1060.
    9. Flake, Oliver L. & Patterson, Paul M., 1999. "Health, Food Safety And Meat Demand," 1999 Annual meeting, August 8-11, Nashville, TN 21648, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Lee, Young-Jae & Kennedy, P. Lynn, 2008. "Demand System Analysis of the South Korean Beef Market with the Free Trade Demand Model," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6825, Southern Agricultural Economics Association.
    11. Schroeter, Christiane & Foster, Kenneth A., 2004. "The Impact Of Health Information And Demographic Changes On Aggregate Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 20130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Ning, Xin & Grant, Jason H. & Peterson, Everett B., 2021. "Estimating Structural Change in the Japanese Beef Import Market in the Wake of BSE: A Smooth Transition Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.
    13. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    14. Kim, Renee B. & Veeman, Michele M., 2001. "Korean Beef Import Preferences: Implications For Trade Patterns In The Twenty First Century," 2001: International Trade in Livestock Products Symposium, January 2001, Auckland, New Zealand 14561, International Agricultural Trade Research Consortium.
    15. Mabiso, Athur & Weatherspoon, Dave D., 2008. "Fuel and Food Tradeoffs: A Preliminary Analysis of South African Food Consumption Patterns," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6126, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Moon, Wanki & Ward, Ronald W., 1999. "Effects Of Health Concerns And Consumer Characteristics On U.S. Meat Consumption," 1999 Annual meeting, August 8-11, Nashville, TN 21682, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Zheng, Yuqing & Kinnucan, Henry W., 2004. "Does Advertising Rotate Demand Curves? Some Evidence For Us Non-Alcoholic Beverages," 2004 Annual meeting, August 1-4, Denver, CO 20391, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Rodriguez, Nestor & Eales, James S., 2015. "Structural Change via Threshold Effects: Estimating U.S. Meat Demand Using Smooth Transition Functions and the Effects of More Women in the Labor Force," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206522, Agricultural and Applied Economics Association.
    19. 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).
    20. Chang, Hung-Hao & Just, David R., 2007. "Health Information Availability and the Consumption of Eggs: Are Consumers Bayesians?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(1), pages 1-16, April.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:aaea01:20689. 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/aaeaaea.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.