| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28431 |
| 来源ID | Working Paper 28431 |
| Man Versus Machine? Self-Reports Versus Algorithmic Measurement of Publications | |
| Xuan Jiang; Wan-Ying Chang; Bruce A. Weinberg | |
| 发表日期 | 2021-02-08 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | This paper uses newly available data from Web of Science on publications matched to researchers in Survey of Doctorate Recipients to compare scientific publications collected by surveys and algorithmic approaches. We aim to illustrate the different types of measurement errors in self-reported and machine-generated data by estimating how publication measures from the two approaches are related to career outcomes (e.g. salaries, placements, and faculty rankings). We find that the potential biases in the self-reports are smaller relative to the algorithmic data. Moreover, the errors in the two approaches are quite intuitive: the measurement errors of the algorithmic data are mainly due to the accuracy of matching, which primarily depends on the frequency of names and the data that was available to make matches; while the noise in self reports is expected to increase over the career as researchers’ publication records become more complex, harder to recall, and less immediately relevant for career progress. This paper provides methodological suggestion on evaluating the quality and advantages of two approaches to data construction. It also provides guidance on how to use the new linked data. |
| 主题 | Econometrics ; Estimation Methods ; Labor Economics ; Labor Supply and Demand ; Labor Compensation ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w28431 |
| 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/586104 |
| 推荐引用方式 GB/T 7714 | Xuan Jiang,Wan-Ying Chang,Bruce A. Weinberg. Man Versus Machine? Self-Reports Versus Algorithmic Measurement of Publications. 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 | ||
| w28431.pdf（439KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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