Citation Analysis

Policy-relevant causal effect estimation using instrumental variables with interference
Didier Nibbering, Matthijs Oosterveen
https://arxiv.org/abs/2509.12538

Citation mentions

Cited references

Sections

4,857

Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

#	Reference	Year	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	Vazquez-Bare, G	2023	4	3	6.0	0.143	0.928	100%
2	Imbens, G. W. and J. D. Angrist	1994	3	3	5.0	0.107	0.843	100%
3	Imai, K., Z. Jiang, and A. Malani	2021	4	2	5.0	0.143	0.811	100%
4	Kang, H. and G. Imbens	2016	4	2	5.0	0.143	0.811	100%
5	Hoshino, T. and T. Yanagi	2024	3	2	4.0	0.107	0.737	100%
6	DiTraglia, F. J., C. Garc\'\ia-Jimeno, R. O’Keeffe...	2023	3	2	4.0	0.107	0.737	100%
7	Kormos, M., R. P. Lieli, and M. Huber	2025	2	2	3.0	0.071	0.644	100%
8	Ryu, S	2024	1	1	1.0	0.036	0.406	100%
9	Acerenza, S., J. Martinez-Iriarte, A. Sanchez-Bece...	2025	1	1	1.0	0.036	0.406	100%
10	Manski, C. F	1997	1	1	1.0	0.036	0.406	100%
11	Manski, C. F. and J. V. Pepper	2000	1	1	1.0	0.036	0.406	100%
12	Borusyak, K. and P. Hull	2023	1	1	2.0	0.036	0.406	100%

Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.