Estimating Spillover Effects in the Presence of Isolated Nodes
Fuente:
arXiv
Saved in:
| Main Author: | |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912148028915712 |
|---|---|
| author | Kim, Bora |
| author_facet | Kim, Bora |
| contents | In estimating spillover effects under network interference, practitioners often use linear regression with either the number or fraction of treated neighbors as regressors. An often overlooked fact is that the latter is undefined for units without neighbors (``isolated nodes"). The common practice is to impute this fraction as zero for isolated nodes. This paper shows that such practice introduces bias through theoretical derivations and simulations. Causal interpretations of the commonly used spillover regression coefficients are also provided. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_05919 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Estimating Spillover Effects in the Presence of Isolated Nodes Kim, Bora Econometrics In estimating spillover effects under network interference, practitioners often use linear regression with either the number or fraction of treated neighbors as regressors. An often overlooked fact is that the latter is undefined for units without neighbors (``isolated nodes"). The common practice is to impute this fraction as zero for isolated nodes. This paper shows that such practice introduces bias through theoretical derivations and simulations. Causal interpretations of the commonly used spillover regression coefficients are also provided. |
| title | Estimating Spillover Effects in the Presence of Isolated Nodes |
| topic | Econometrics |
| url | https://arxiv.org/abs/2412.05919 |