| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w17346 |
| 来源ID | Working Paper 17346 |
| Partial Identification of Heterogeneity in Preference Orderings Over Discrete Choices | |
| Itai Sher; Jeremy T. Fox; Kyoo il Kim; Patrick Bajari | |
| 发表日期 | 2011-08-25 |
| 出版年 | 2011 |
| 语种 | 英语 |
| 摘要 | We study a variant of a random utility model that takes a probability distribution over preference relations as its primitive. We do not model products using a space of observed characteristics. The distribution of preferences is only partially identified using cross-sectional data on varying budget sets. Imposing monotonicity in product characteristics does not restore full identification. Using a linear programming approach to partial identification, we show how to obtain bounds on probabilities of any ordering relation. We also do constructively point identify the proportion of consumers who prefer one budget set over one or two others. This result is useful for welfare. Panel data and special regressors are two ways to gain full point identification. |
| 主题 | Econometrics ; Estimation Methods ; Industrial Organization |
| URL | https://www.nber.org/papers/w17346 |
| 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/575020 |
| 推荐引用方式 GB/T 7714 | Itai Sher,Jeremy T. Fox,Kyoo il Kim,et al. Partial Identification of Heterogeneity in Preference Orderings Over Discrete Choices. 2011. |
| 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 | ||
| w17346.pdf（201KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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