Citation Analysis

Identifying treatment effects on categorical outcomes in IV models
Onil Boussim
https://arxiv.org/abs/2510.10946
17
Citation mentions
15
Cited references
9
Sections
5,465
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 Han, Sukjin and Lee, Sungwon 2019 2 2 2.5 0.118 0.644 100%
2 Manski, Charles F 1990 2 2 2.5 0.118 0.644 100%
3 Mogstad, Magne and Torgovitsky, Alexander 2024 1 1 0.5 0.059 0.406 100%
4 Van de Ven, Wynand PMM and Van Praag, Bernard MS 1981 1 1 0.5 0.059 0.406 100%
5 Dubin, Jeffrey A and McFadden, Daniel L 1984 1 1 0.5 0.059 0.406 100%
6 Dubin, Jeffrey A and Rivers, Douglas 1989 1 1 0.5 0.059 0.406 100%
7 Freedman, David A and Sekhon, Jasjeet S 2010 1 1 0.5 0.059 0.406 100%
8 Mourifie 2014 1 1 0.5 0.059 0.406 100%
9 Han, Sukjin and Vytlacil, Edward J 2017 1 1 0.5 0.059 0.406 100%
10 Acerenza, Santiago and Bartalotti, Ota 2023 1 1 0.5 0.059 0.406 100%
11 Angrist, Joshua and Imbens, Guido 1995 1 1 0.5 0.059 0.406 100%
12 Chernozhukov, Victor and Ferna 2024 1 1 0.5 0.059 0.406 100%
13 Balke, Alexander and Pearl, Judea 1997 1 1 0.5 0.059 0.406 100%
14 Vytlacil, Edward and Yildiz, Nese 2007 1 1 0.5 0.059 0.406 100%
15 Shaikh, Azeem M and Vytlacil, Edward J 2011 1 1 0.5 0.059 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.