| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w16572 |
| 来源ID | Working Paper 16572 |
| Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index | |
| Hendrik Wolff; Howard Chong; Maximilian Auffhammer | |
| 发表日期 | 2010-12-02 |
| 出版年 | 2010 |
| 语种 | 英语 |
| 摘要 | We measure and examine data error in health, education and income statistics used to construct the Human Development Index. We identify three sources of data error which are due to (i) data updating, (ii) formula revisions and (iii) thresholds to classify a country's development status. We propose a simple statistical framework to calculate country specific measures of data uncertainty and investigate how data error biases rank assignments. We find that up to 34% of countries are misclassified and, by replicating prior studies, we show that key estimated parameters vary by up to 100% due to data error. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w16572 |
| 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/574247 |
| 推荐引用方式 GB/T 7714 | Hendrik Wolff,Howard Chong,Maximilian Auffhammer. Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index. 2010. |
| 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 | ||
| w16572.pdf（648KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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