Nonparametric Identification and Estimation of Nonadditive Hedonic Models
研究了均衡享乐模型中偏好与技术的非参数识别和估计，在弱假设下利用单一市场数据识别非加性异质性结构关系，并探讨了多市场数据如何促进识别。
This paper studies the identification and estimation of preferences and technologies in equilibrium hedonic models. In it, we identify nonparametric structural relationships with nonadditive heterogeneity. We determine what features of hedonic models can be identified from equilibrium observations in a single market under weak assumptions about the available information. We then consider use of additional information about structural functions and heterogeneity distributions. Separability conditions facilitate identification of consumer marginal utility and firm marginal product functions. We also consider how identification is facilitated using multimarket data. Copyright 2010 The Econometric Society.