IDEAS home Printed from https://ideas.repec.org/p/ags/aaea05/19432.html
   My bibliography  Save this paper

Import Demand Estimation and the Generalized Composite Commodity Theorem

Author

Listed:
  • Asche, Frank
  • Guttormsen, Atle G.
  • Kristofersson, Dadi
  • Roheim, Cathy A.

Abstract

A frequently encountered problem in import demand estimation is how to account for competition between imports and domestic production. Traditionally, use of the Armington model has been a way to handle this problem. This is a disaggregate model which distinguishes commodities by country of origin with import demand determined in a separable two-step procedure. The model appears frequently in analysis of international agricultural markets. However, the Armington model relies on a set of weak separability assumptions, which several authors have shown to be highly questionable. In this paper, a new aggregation theorem, the Generalized Composite Commodity Theorem (GCCT), is applied to test whether imports can be treated as a separate group. An advantage with the GCCT is that only import data is required to conduct the test. The application is to the imports of swordfish to the U.S. with implications for U.S. and international swordfish management policies.

Suggested Citation

  • Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19432
    DOI: 10.22004/ag.econ.19432
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/19432/files/sp05as03.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.19432?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. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Kjell G. Salvanes, 1997. "Market Delineation and Demand Structure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 139-150.
    3. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-543, June.
    4. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
    5. Kapuscinski, Cezary A. & Warr, Peter G., 1999. "Estimation of Armington elasticities: an application to the Philippines," Economic Modelling, Elsevier, vol. 16(2), pages 257-278, April.
    6. Frank Asche & Helge Bremnes & Cathy R. Wessells, 1999. "Product Aggregation, Market Integration, and Relationships between Prices: An Application to World Salmon Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 568-581.
    7. Adolf Buse & Wing H Chan, 2000. "Invariance, price indices and estimation in almost ideal demand systems," Empirical Economics, Springer, vol. 25(3), pages 519-539.
    8. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    9. George C. Davis & Ni Lin & C. Richard Shumway, 2000. "Aggregation without Separability: Tests of the United States and Mexican Agricultural Production Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 214-230.
    10. Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-242, April.
    11. Adolf Buse, 1994. "Evaluating the Linearized Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 781-793.
    12. Pashardes, Panos, 1993. "Bias in Estimating the Almost Ideal Demand System with the Stone Index Approximation," Economic Journal, Royal Economic Society, vol. 103(419), pages 908-915, July.
    13. Doane, Michael J & Spulber, Daniel F, 1994. "Open Access and the Evolution of the U.S. Spot Market for Natural Gas," Journal of Law and Economics, University of Chicago Press, vol. 37(2), pages 477-517, October.
    14. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    15. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    16. Albert J. Reed & J. William Levedahl & Charles Hallahan, 2005. "The Generalized Composite Commodity Theorem and Food Demand Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 28-37.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    18. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Xiaojin & Reed, Michael, 2013. "Estimation of Import Demand for Fishery Products in the U.S. Using the Source-Differentiated AIDS Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150207, Agricultural and Applied Economics Association.

    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. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    2. Li, Wenying & Zhen, Chen, 2017. "A Reassessment of Product Aggregation Bias in Demand Analysis: An Application to the U.S. Meat Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258197, Agricultural and Applied Economics Association.
    3. Lancker, Kira & Bronmann, Julia, 2020. "Quantifying consumers’ love for marine biodiversity," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304214, Agricultural and Applied Economics Association.
    4. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    5. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    6. Lee L. Schulz & Ted C. Schroeder & Tian Xia, 2012. "Studying composite demand using scanner data: the case of ground beef in the US," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 49-57, November.
    7. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.
    8. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
    9. Jonathan M. Nzuma & Rakhal Sarker, 2010. "An error corrected almost ideal demand system for major cereals in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 43-50, January.
    10. William Barnett & Ousmane Seck, 2006. "Rotterdam vs Almost Ideal Models: Will the Best Demand Specification Please Stand Up?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200605, University of Kansas, Department of Economics.
    11. Asche, Frank & Osmundsen, Petter & Tveteras, Ragnar, 2002. "European market integration for gas? Volume flexibility and political risk," Energy Economics, Elsevier, vol. 24(3), pages 249-265, May.
    12. Reed, Albert J. & Levedahl, J. William & Hallahan, Charles B., 2004. "The Generalized Composite Commodity Theorem And Food Demand Estimation," 2004 Annual meeting, August 1-4, Denver, CO 20107, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Wildner, Susanne, 2001. "Quantifizierung der Preis– und Ausgabenelastizitäten für Nahrungsmittel in Deutschland: Schätzung eines LA/AIDS," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(05), pages 1-11.
    14. repec:ebl:ecbull:v:3:y:2008:i:14:p:1-10 is not listed on IDEAS
    15. William A. Barnett & Ousmane Seck, 2008. "Rotterdam model versus almost ideal demand system: will the best specification please stand up?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 795-824.
    16. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Qinghua Liu & C. Richard Shumway, 2004. "Testing aggregation consistency across geography and commodities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(3), pages 463-486, September.
    18. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    19. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    20. Manami Ogura, 2008. "The examination of the validity of the Divisia price index for the almost ideal demand system model: Some Monte Carlo results," Economics Bulletin, AccessEcon, vol. 3(14), pages 1-10.
    21. M. Hashem Pesaran & Yongcheol Shin, 2002. "Long-Run Structural Modelling," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 49-87.

    More about this item

    Keywords

    International Relations/Trade;

    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:aaea05:19432. 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.