摘要翻译：
研究了完全可转移效用的一对一匹配模型中偏好参数的部分辨识问题，不对未观测到的异质性施加参数分布限制，且数据在一个大市场上。在各种非参数分布假设下，我们给出了识别集的一个可处理的刻划，这些非参数分布假设是关于未观察到的异质性的。运用我们的研究方法，我们重新审视了以往在多项式Logit假设下研究过的婚姻市场实证文献中的一些相关问题。
---
英文标题：
《Partial Identification in Matching Models for the Marriage Market》
---
作者：
Cristina Gualdani and Shruti Sinha
---
最新提交年份：
2020
---
分类信息：

一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
--

---
英文摘要：
  We study partial identification of the preference parameters in models of one-to-one matching with perfectly transferable utilities, without imposing parametric distributional restrictions on the unobserved heterogeneity and with data on one large market. We provide a tractable characterisation of the identified set, under various classes of nonparametric distributional assumptions on the unobserved heterogeneity. Using our methodology, we re-examine some of the relevant questions in the empirical literature on the marriage market which have been previously studied under the Multinomial Logit assumption.
---
PDF链接：
https://arxiv.org/pdf/1902.05610