Nonparametric identification of random coefficients in aggregate demand models for differentiated products
研究了消费者异质性下差异化产品市场加总需求模型的非参数识别问题，给出了个体特定系数密度可识别的条件，从而可计算反事实干预受益人群比例。
Summary This paper studies nonparametric identification in market-level demand models for differentiated products with heterogeneous consumers. We consider a general class of models that allows for the individual-specific coefficients to vary continuously across the population and give conditions under which the density of these coefficients, and hence also functionals such as the fractions of individuals who benefit from a counterfactual intervention, is identified.