| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23497 |
| 来源ID | Working Paper 23497 |
| Unordered Monotonicity | |
| James J. Heckman; Rodrigo Pinto | |
| 发表日期 | 2017-06-26 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | This paper defines and analyzes a new monotonicity condition for the identification of counterfactuals and treatment effects in unordered discrete choice models with multiple treatments, heterogenous agents and discrete-valued instruments. Unordered monotonicity implies and is implied by additive separability of choice of treatment equations in terms of observed and unobserved variables. These results follow from properties of binary matrices developed in this paper. We investigate conditions under which unordered monotonicity arises as a consequence of choice behavior. We characterize IV estimators of counterfactuals as solutions to discrete mixture problems. |
| 主题 | Econometrics ; Estimation Methods ; Experimental Design ; Health, Education, and Welfare ; Education ; Labor Economics ; Demography and Aging |
| URL | https://www.nber.org/papers/w23497 |
| 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/581204 |
| 推荐引用方式 GB/T 7714 | James J. Heckman,Rodrigo Pinto. Unordered Monotonicity. 2017. |
| 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 | ||
| w23497.pdf（621KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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