We study the identification of differentiated product demand with exogenous supply-side instruments, allowing product characteristics to be endogenous. Past analyses have argued that exogenous characteristic-based instruments are essentially necessary given a sufficiently flexible demand model with a suitable index restriction. We show, however, that price counterfactuals are nonparametrically identified by recentered instruments -- which combine exogenous shocks to prices with endogenous product characteristics -- under a weaker index restriction and a new condition we term faithfulness. We argue that faithfulness, like the usual completeness condition for nonparametric identification with instruments, can be viewed as a technical requirement on the richness of identifying variation rather than a substantive economic restriction, and we show that it holds under a variety of non-nested conditions on either price-setting or the index.
翻译:本研究探讨了在允许产品特征内生的条件下,利用外生供给侧工具变量识别差异化产品需求的问题。既往分析认为,在具有适当指标限制的足够灵活的需求模型中,基于外生特征的识别工具本质上是必需的。然而,我们证明,在较弱的指标限制及我们称为“忠实性”的新条件下,通过重中心化工具变量——即结合价格的外生冲击与内生产品特征——可以实现价格反事实的非参数识别。我们认为,忠实性条件与工具变量非参数识别中常见的完备性条件类似,可视为对识别变异丰富度的技术要求,而非实质性的经济约束,并证明该条件在价格设定或指标函数的多类非嵌套条件下均成立。