| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29808 |
| 来源ID | Working Paper 29808 |
| Using Digitized Newspapers to Refine Historical Measures: The Case of the Boll Weevil | |
| Andreas Ferrara; Joung Yeob Ha; Randall Walsh | |
| 发表日期 | 2022-02-28 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | This paper shows how to remove attenuation bias in regression analyses due to measurement error in historical data for a given variable of interest by using a secondary measure which can be easily generated from digitized newspapers. We provide three methods for using this secondary variable to deal with non-classical measurement error in a binary treatment: set identification, bias reduction via sample restriction, and a parametric bias correction. We demonstrate the usefulness of our methods by replicating two recent studies on the effect of the boll weevil. Relative to the initial analysis, our results yield markedly larger coefficient estimates. |
| 主题 | History |
| URL | https://www.nber.org/papers/w29808 |
| 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/587482 |
| 推荐引用方式 GB/T 7714 | Andreas Ferrara,Joung Yeob Ha,Randall Walsh. Using Digitized Newspapers to Refine Historical Measures: The Case of the Boll Weevil. 2022. |
| 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 | ||
| w29808.pdf（799KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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