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A cointegrated VECM demand system for meat in Italy

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  • L. Fanelli
  • M. Mazzocchi

Abstract

This article applies cointegration techniques to estimate a monthly demand system for meat in Italy. In contrast to existing studies where Engle and Granger's two step procedure and Triangular Vector Error Correction Model (TVECM) representations are usually exploited, it applies a cointegrated Vector Error Correction Model (VECM) where also prices and expenditure enter endogenously the system and the cointegration rank is not assumed to be known a priori but subject to inference. It highlights some of the advantages of using the VECM compared to the TVECM, including the possibility of testing the cointegration rank of the system and the (weak and strong) exogeneity of prices and expenditure within a well-specified statistical model. This may lead to remarkable improvements in the efficiency of parameters system estimates.

Suggested Citation

  • L. Fanelli & M. Mazzocchi, 2002. "A cointegrated VECM demand system for meat in Italy," Applied Economics, Taylor & Francis Journals, vol. 34(13), pages 1593-1605.
    • Handle: RePEc:taf:applec:v:34:y:2002:i:13:p:1593-1605
    DOI: 10.1080/00036840110111167
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    References listed on IDEAS

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    1. Terje Skjerpen & Anders Rygh Swensen, 2000. "Testing for long-run homogeneity in the Linear Almost Ideal Demand System An application on Norwegian quarterly data for non-durables," Discussion Papers 289, Statistics Norway, Research Department.
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    Cited by:

    1. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Echeverría, Lucía & Molina, José Alberto, 2021. "Poor vs Non-Poor Households in Uruguay: Welfare Differences from Food Price Changes," GLO Discussion Paper Series 890, Global Labor Organization (GLO).
    3. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    4. Rangkakulnuwat, Poomthan & Wang, H. Holly & Ahn, Sung K., 2007. "The inverse imported factor demand system in Thailand: A cointegration analysis," Economics Letters, Elsevier, vol. 94(3), pages 402-407, March.
    5. Beach, Robert H. & Zhen, Chen, 2008. "Consumer Purchasing Behavior in Response to Media Coverage of Avian Influenza," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6750, Southern Agricultural Economics Association.
    6. Paul Preckel & J. A. L. Cranfield & Thomas Hertel, 2010. "A modified, implicit, directly additive demand system," Applied Economics, Taylor & Francis Journals, vol. 42(2), pages 143-155.
    7. Arvid Raknerud & Terje Skjerpen & Anders Swensen, 2007. "A linear demand system within a seemingly unrelated time series equations framework," Empirical Economics, Springer, vol. 32(1), pages 105-124, April.
    8. Jean-Paul Chavas & Kwansoo Kim, 2005. "Cointegration relationships and hedonic pricing of differentiated commodities: an application to price dynamics in the US dairy sector," Applied Economics, Taylor & Francis Journals, vol. 37(16), pages 1813-1827.
    9. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.
    10. Beach, Robert H. & Kuchler, Fred & Leibtag, Ephraim S. & Zhen, Chen, 2008. "The Effects of Avian Influenza News on Consumer Purchasing Behavior: A Case Study of Italian Consumers' Retail Purchases," Economic Research Report 56477, United States Department of Agriculture, Economic Research Service.
    11. Mario Mazzocchi & Davide Delle Monache & Alexandra Lobb, 2006. "A structural time series approach to modelling multiple and resurgent meat scares in Italy," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1677-1688.
    12. L. Fanelli & M. Mazzocchi, 2004. "Back to the future? Habits and rational addiction in UK tobacco and alcohol demand," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.

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