| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28327 |
| 来源ID | Working Paper 28327 |
| Informational Content of Factor Structures in Simultaneous Binary Response Models | |
| Shakeeb Khan; Arnaud Maurel; Yichong Zhang | |
| 发表日期 | 2021-01-11 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a variety of settings in cross sectional and panel data models, and in this paper we formally quantify their identifying power in a bivariate system often employed in the treatment effects literature. Our main findings are that imposing a factor structure yields point identification of parameters of interest, such as the coefficient associated with the endogenous regressor in the outcome equation, under weaker assumptions than usually required in these models. In particular, we show that a non-standard exclusion restriction that requires an explanatory variable in the outcome equation to be excluded from the treatment equation is no longer necessary for identification, even in cases where all of the regressors from the outcome equation are discrete. We also establish identification of the coefficient of the endogenous regressor in models with more general factor structures, in situations where one has access to at least two continuous measurements of the common factor. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w28327 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/586000 |
| 推荐引用方式 GB/T 7714 | Shakeeb Khan,Arnaud Maurel,Yichong Zhang. Informational Content of Factor Structures in Simultaneous Binary Response Models. 2021. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w28327.pdf（550KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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