Citation Analysis

Identifying Causal Effects under Kink Setting: Theory and Evidence
Yi Lu, Jianguo Wang, Huihua Xie
https://arxiv.org/abs/2404.09117
24
Citation mentions
16
Cited references
10
Sections
11,483
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 Chetty, Raj and Friedman, John N and Olsen, Tore a... 2011 5 1 5.0 0.208 0.693 100%
2 Diamond, Rebecca and Persson, Petra 2017 3 1 3.0 0.125 0.585 100%
3 Saez, Emmanuel 2010 2 1 2.0 0.083 0.511 100%
4 Kleven, Henrik J and Waseem, Mazhar 2013 2 1 2.0 0.083 0.511 100%
5 Zimmerman, Seth D 2019 1 1 1.0 0.042 0.406 100%
6 Pop-Eleches, Cristian and Urquiola, Miguel 2013 1 1 1.0 0.042 0.406 100%
7 Kleven, Henrik Jacobsen 2016 1 1 1.0 0.042 0.406 100%
8 Chen, Zhao and Liu, Zhikuo and Sua 2021 1 1 1.0 0.042 0.406 100%
9 Best, Michael Carlos and Kleven, Henrik Jacobsen 2018 1 1 1.0 0.042 0.406 100%
10 Best, Michael Carlos and Cloyne, James S and Ilzet... 2020 1 1 1.0 0.042 0.406 100%
11 Cloyne, James and Huber, Kilian and Ilzetzki, Etha... 2019 1 1 1.0 0.042 0.406 100%
12 Carneiro, Pedro and L\o 2015 1 1 1.0 0.042 0.406 100%
13 Caetano, Carolina 2015 1 1 1.0 0.042 0.406 100%
14 Caetano, Carolina and Caetano, Gregorio and Nielse... 2023 1 1 1.0 0.042 0.406 100%
15 Cox, Natalie and Liu, Ernest and Morrison, Daniel 2021 1 1 1.0 0.042 0.406 100%
16 Blomquist, So 2021 1 1 1.0 0.042 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.