Scanner Data and the Estimation of Demand Parameters
综述了近年来利用扫描仪/零售销售数据估计需求参数的方法，并举例说明其在肉类产品需求函数估计中的应用，对从事需求分析的学者有参考价值。
Approaches to the specification of demand systems and the estimation of demand parameters have expanded considerably during recent years (Blundell, 1988). Available empirical estimates have been based on time-series, cross-section, and time-series of cross-section data on individuals, households and more aggregated units. Studies by Capps and Nayga (1990); Capps (1989); Funk, Meilke, and Huff (1977); and Marion and Walker (1978) have employed scanner/retail sales data, a potentially rich new source of information for estimating demand elasticities. Specifically, Capps, and Funk, Meilke, and Huff have utilized data from scanner/retail sales to estimate retail demand functions for meat products in the United States and Canada, respectively.