| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25270 |
| 来源ID | Working Paper 25270 |
| Non-Randomly Sampled Networks: Biases and Corrections | |
| Chih-Sheng Hsieh; Stanley I. M. Ko; Jaromír Kovářík; Trevon Logan | |
| 发表日期 | 2018-11-19 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | This paper analyzes statistical issues arising from networks based on non-representative samples of the population. We first characterize the biases in both network statistics and estimates of network effects under non-random sampling analytically and numerically. Sampled network data systematically bias the properties of population networks and suffer from non-classical measurement-error problems when applied as regressors. Apart from the sampling rate and the elicitation procedure, these biases depend in a nontrivial way on which subpopulations are missing with higher probability. We propose a methodology, adapting post-stratification weighting approaches to networked contexts, which enables researchers to recover several network-level statistics and reduce the biases in the estimated network effects. The advantages of the proposed methodology are that it can be applied to network data collected via both designed and non-designed sampling procedures, does not require one to assume any network formation model, and is straightforward to implement. We apply our approach to two widely used network data sets and show that accounting for the non-representativeness of the sample dramatically changes the results of regression analysis. |
| 主题 | Econometrics ; Estimation Methods ; Microeconomics ; Economics of Information ; Industrial Organization ; Market Structure and Firm Performance ; Other ; Culture |
| URL | https://www.nber.org/papers/w25270 |
| 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/582944 |
| 推荐引用方式 GB/T 7714 | Chih-Sheng Hsieh,Stanley I. M. Ko,Jaromír Kovářík,et al. Non-Randomly Sampled Networks: Biases and Corrections. 2018. |
| 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 | ||
| w25270.pdf（863KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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