Citation Analysis

(Empirical) Bayes Approaches to Parallel Trends
Soonwoo Kwon, Jonathan Roth
https://arxiv.org/abs/2404.11839
10
Citation mentions
10
Cited references
4
Sections
1,801
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 Benzarti, Youssef and Carloni, Dorian 2019 1 1 2.0 0.100 0.406 100%
2 McGahan, Anita M. and Porter, Michael E. 1999 1 1 2.0 0.100 0.406 100%
3 Lovenheim, Michael F. and Willén, Alexander 2019 1 1 2.0 0.100 0.406 100%
4 Roth, Jonathan and Sant’Anna, Pedro H. C. and Bili... (self) 2023 1 1 2.0 0.100 0.406 100%
5 Roth, Jonathan (self) 2022 1 1 0.5 0.100 0.087 0%
6 Manski, Charles F. and Pepper, John V. 2018 1 1 0.5 0.100 0.087 0%
7 Rambachan, Ashesh and Roth, Jonathan (self) 2023 1 1 0.5 0.100 0.087 0%
8 Moon, Hyungsik Roger and Schorfheide, Frank 2012 1 1 0.5 0.100 0.087 0%
9 Giacomini, Raffaella and Kitagawa, Toru 2021 1 1 0.5 0.100 0.087 0%
10 Leavitt, Thomas 2020 1 1 0.5 0.100 0.087 0%
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.