论文标题
鉴定具有无限维固定效应的半参数板多项式选择模型
Identification of Semiparametric Panel Multinomial Choice Models with Infinite-Dimensional Fixed Effects
论文作者
论文摘要
本文提出了一种可靠的方法，用于在小组多项式选择模型中进行半摩托车识别和估计，在该模型中，我们允许以添加性不可分割的方式对无限维固定效应，从而融合了丰富的未观察的异质性。我们的识别策略利用了参数索引中的多元单调性，并利用跨期不平等的逻辑对立来获得识别限制。我们提供了一个一致的估计程序，并通过蒙特卡洛模拟证明了我们方法的实际优势，并提供了尼尔森数据的爆米花销售的经验说明。
This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved heterogeneity. Our identification strategy exploits multivariate monotonicity in parametric indexes, and uses the logical contraposition of an intertemporal inequality on choice probabilities to obtain identifying restrictions. We provide a consistent estimation procedure, and demonstrate the practical advantages of our method with Monte Carlo simulations and an empirical illustration on popcorn sales with the Nielsen data.
