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Citation Analysis

\bf Difference-in-Differences with Time-varying Continuous Treatments Using Double/Debiased Machine Learning
Michel F. C. Haddad, Martin Huber, Lucas Z. Zhang
https://arxiv.org/abs/2410.21105
88
Citation mentions
47
Cited references
11
Sections
13,617
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 Zhang, Lucas Z. (self) 2025 12 5 19.0 0.136 0.941 83%
2 Chernozhukov, Victor and Chetverikov, Denis and De... 2018 5 4 6.5 0.057 0.928 80%
3 de Chaisemartin, Cle 2024 5 2 7.0 0.057 0.874 100%
4 Hugo Bodory and Martin Huber (self) 2018 5 3 7.0 0.057 0.843 60%
5 Fricke, Hans 2017 2 2 3.0 0.023 0.644 100%
6 Michael Zimmert 2020 2 2 3.0 0.023 0.644 100%
7 Zhang, Lucas Z. (self) 2024 4 3 3.5 0.045 0.585 25%
8 Kennedy, Edward H. and Ma, Zongming and McHugh, Ma... 2017 2 1 2.0 0.023 0.511 100%
9 Callaway, Brantly and Goodman-Bacon, Andrew and Sa... 2024 2 1 2.0 0.023 0.511 100%
10 Abadie, Alberto 2005 2 1 2.0 0.023 0.511 100%
11 Pedro H. C. Sant'Anna and Jun B. Zhao 2020 2 1 2.0 0.023 0.511 100%
12 Chang, Neng-Chieh 2020 2 2 1.5 0.023 0.511 50%
13 De Chaisemartin, Cle 2024 2 1 4.0 0.023 0.511 100%
14 Chernozhukov, V. and Chetverikov, D. and Kato, K. 2014 2 1 4.0 0.023 0.511 100%
15 Chernozhukov, V. and Chetverikov, D. and Kato, K. 2014 2 1 4.0 0.023 0.511 100%
16 Fan, Q. and Hsu, Y. C.and Lieli, R. P. and Zhang, ... (self) 2022 2 1 4.0 0.023 0.511 100%
17 R Core Team 2020 2 2 2.5 0.023 0.511 50%
18 B. Silverman 1986 2 2 2.5 0.023 0.511 50%
19 Huber, Martin and Hsu, Yu-Chin and Lee, Ying-Ying ... (self) 2020 2 2 2.5 0.023 0.511 50%
20 M Huber and M Lechner and C Wunsch (self) 2013 2 2 2.5 0.023 0.511 50%
21 1 1 1.0 0.011 0.406 100%
22 J M Robins and Andrea Rotnitzky 1995 1 1 1.0 0.011 0.406 100%
23 Kyle Colangelo and Ying-Ying Lee 2023 1 1 1.0 0.011 0.406 100%
24 J Neyman 1959 1 1 1.0 0.011 0.406 100%
25 R. Tibshirani 1 1 1.0 0.011 0.406 100%
26 Alexandre Belloni and Victor Chernozhukov and Chri... 2014 1 1 1.0 0.011 0.406 100%
27 De Chaisemartin, Cle 2020 1 1 1.0 0.011 0.406 100%
28 Hettinger, G. and Lee, Y. and Mitra, N. 2025 1 1 1.0 0.011 0.406 100%
29 Goodman-Bacon, A 2021 1 1 1.0 0.011 0.406 100%
30 Sun, Liyang and Abraham, Sarah 2021 1 1 1.0 0.011 0.406 100%
31 Borusyak, Kirill and Jaravel, Xavier and Spiess, J... 2024 1 1 1.0 0.011 0.406 100%
32 Hong, Seung-Hyun 2013 1 1 1.0 0.011 0.406 100%
33 J. Neyman 1 1 2.0 0.011 0.406 100%
34 D B Rubin 1 1 2.0 0.011 0.406 100%
35 D. Rubin 1 1 2.0 0.011 0.406 100%
36 D. Cox 1958 1 1 2.0 0.011 0.406 100%
37 M. Lechner 2011 1 1 2.0 0.011 0.406 100%
38 Carolina Caetano and Brantly Callaway and Stroud P... 2022 1 1 2.0 0.011 0.406 100%
39 Imai, Kosuke and van Dyk, David A 2004 1 1 2.0 0.011 0.406 100%
40 Keisuke Hirano and Guido W. Imbens 2005 1 1 2.0 0.011 0.406 100%
41 Fan, Jianqing and Yao, Qiwei and Tong, Howell 1996 1 1 2.0 0.011 0.406 100%
42 Clément de Chaisemartin and Xavier D'Haultfœuille 2025 1 1 2.0 0.011 0.406 100%
43 de Chaisemartin, Clément and Ciccia, Diego and d'H... 2022 1 1 2.0 0.011 0.406 100%
44 Wesley Cota 2020 1 1 2.0 0.011 0.406 100%
45 Ho, Tin Kam 1995 1 1 2.0 0.011 0.406 100%
46 Breiman, L. 2001 1 1 2.0 0.011 0.406 100%
47 Huber, Martin and Langen, Henrika (self) 2020 1 1 2.0 0.011 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.

Citation intensity data generated from LaTeX source analysis.