论文标题
使用微数据对差异化产品需求的非参数鉴定
Nonparametric Identification of Differentiated Products Demand Using Micro Data
论文作者
论文摘要
当一个人具有“微数据”将个人消费者的特征和选择联系起来时，我们检查了差异化产品需求的识别。我们的模型筑巢的标准规格具有丰富的观察和未观察到的消费者异质性，以及引入计量经济学内生性问题的产品/市场水平的不可观念。以前的工作使用市场级别的数据和工具来确定此类模型的所有价格和数量。微数据提供了一个面板结构，可促进更丰富的需求规格，并减少对仪器变量数量和类型的要求。我们解决了假定非价格产品特征外源性的标准情况下需求的识别，但当产品特征是内源性时，我们也涵盖了需求弹性和其他关键特征的识别。我们讨论这些结果对应用工作的含义。
We examine identification of differentiated products demand when one has "micro data" linking individual consumers' characteristics and choices. Our model nests standard specifications featuring rich observed and unobserved consumer heterogeneity as well as product/market-level unobservables that introduce the problem of econometric endogeneity. Previous work establishes identification of such models using market-level data and instruments for all prices and quantities. Micro data provides a panel structure that facilitates richer demand specifications and reduces requirements on both the number and types of instrumental variables. We address identification of demand in the standard case in which non-price product characteristics are assumed exogenous, but also cover identification of demand elasticities and other key features when product characteristics are endogenous. We discuss implications of these results for applied work.
