| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP7272 |
| DP7272 Gender Interactions Within Hierarchies: Evidence from the Political Arena | |
| Daniele Paserman; Stefano Gagliarducci | |
| 发表日期 | 2009-04-19 |
| 出版年 | 2009 |
| 语种 | 英语 |
| 摘要 | Waiting-time targets are frequently used by policy makers in the healthcare sector to monitor provider's performance. Such targets are based on the distribution of the patients on the list. We compare and link such distribution with the distribution of waiting time of the patients treated, as opposed to on the list, which is arguably a better measure of welfare or total disutility from waiting (although it can only be calculated retrospectively). We show that the latter can be estimated from the former, and viceversa. We also show that, depending the hazard function, one distribution may be more or less favourable than the other. However, empirically we find that the proportion of patients waiting on the list more than x months is a downward estimate of the proportion of patients treated waiting more than x months, therefore biasing downwards the total disutility from waiting. |
| 主题 | Industrial Organization |
| 关键词 | Duration Targets Waiting times |
| URL | https://cepr.org/publications/dp7272 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/536109 |
| 推荐引用方式 GB/T 7714 | Daniele Paserman,Stefano Gagliarducci. DP7272 Gender Interactions Within Hierarchies: Evidence from the Political Arena. 2009. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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