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文章基本信息

  • 标题:A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System
  • 本地全文:下载
  • 作者:Sulgham, Anil K. ; Zapata, Hector O.
  • 期刊名称:Australian Journal of Agricultural Economics
  • 印刷版ISSN:0004-9395
  • 电子版ISSN:0817-8763
  • 出版年度:2006
  • 卷号:FEB
  • 出版社:Australian Agricultural Economics Society
  • 摘要:The paper conducts an empirical investigation of the US meat demand system using quarterly data on per capita meat consumption and prices. SUR maximum likelihood is used to estimate a static and dynamic (error correction) linear almost ideal demand systems. Results compare static and dynamic model elasticities.
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