文章基本信息

标题：Micro-Demand Systems Analysis of Non-Alcoholic Beverages in the United States: An Application of Econometric Techniques Dealing With Censoring
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作者：Alviola, Pedro A., IV ; Capps, Oral, Jr. ; Wu, Ximing 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2009
卷号：40
期号：SUPPL
出版社：Food Distribution Research Society
摘要：A censored Almost Ideal Demand System (AIDS) and a Quadratic Almost Ideal Demand System (QUAIDS) were estimated in modeling non-alcoholic beverages. Five estimation techniques were used, including the conventional Iterated Seemingly Unrelated Regression (ITSUR), two-stage methods such as the Heien and Wessells (1990) and the Shonkwiler and Yen (1999) approaches, the generalized maximum entropy method and the Amemiya-Tobin framework of Dong, Gould and Kaiser (2004). Our results based on various specifications and estimation techniques are quantitatively similar and indicate that price elasticity estimates have a greater variability in more highly censored non-alcoholic beverage items such as tea, coffee and bottled water as opposed to less censored non-alcoholic beverage items such as carbonated softdrinks, milk and fruit juices.
关键词：Censored demand systems;AIDS;QUAIDS;Two-Step Methods;Generalized Maximum Entropy;Amemiya-Tobin Framework;Non-Alcoholic Beverages