| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP10575 |
| DP10575 The Missing Transfers: Estimating Mis-reporting in Dyadic Data | |
| Marcel Fafchamps; Margherita Comola | |
| 发表日期 | 2015-05-03 |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers from the village of Nyakatoke in Tanzania, investigating the role of wealth in link formation. Our results suggest that observed transfers are grounded in mutual self-interest, and we show that not taking reporting bias into account leads to incorrect inference and serious underestimation of the total amount of transfers between villagers. The method introduced here is applicable whenever the researcher has two discordant measurements of the same dependent variable. |
| 主题 | Development Economics |
| 关键词 | Dyadic data Informal transfer Reporting bias Social Networks |
| URL | https://cepr.org/publications/dp10575 |
| 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/539407 |
| 推荐引用方式 GB/T 7714 | Marcel Fafchamps,Margherita Comola. DP10575 The Missing Transfers: Estimating Mis-reporting in Dyadic Data. 2015. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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