Citation Analysis – Wild Bootstrap Inference for Linear Regressions with Many Covariates

Wild Bootstrap Inference for Linear Regressions with Many Covariates
Wenze Li
https://arxiv.org/abs/2506.20972

Citation mentions

Cited references

Sections

3,711

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	Cattaneo, Matias D and Jansson, Michael and Newey,...	2018	12	6	16.5	0.179	0.909	75%
2	Jochmans, Koen	2022	19	9	23.0	0.284	0.834	58%
3			2	2	2.0	0.030	0.644	100%
4			2	2	2.0	0.030	0.644	100%
5	van der Vaart, AW and Wellner, Jon	1996	2	2	2.5	0.030	0.511	50%
6	Cattaneo, Matias D and Jansson, Michael and Newey,...	2018	1	1	1.0	0.015	0.406	100%
7			1	1	1.0	0.015	0.406	100%
8			1	1	1.0	0.015	0.406	100%
9			1	1	1.0	0.015	0.406	100%
10	El Karoui, Noureddine and Purdom, Elizabeth	2018	1	1	1.0	0.015	0.406	100%
11	Mammen, Enno	1993	1	1	1.0	0.015	0.406	100%
12			1	1	2.0	0.015	0.406	100%
13			1	1	2.0	0.015	0.406	100%
14			1	1	2.0	0.015	0.406	100%
15			1	1	2.0	0.015	0.406	100%
16	Evdokimov, Kirill and others	2018	1	1	1.0	0.015	0.406	100%
17	Crudu, Federico and Mellace, Giovanni and Sa	2021	1	1	1.0	0.015	0.406	100%
18	Mikusheva, Anna and Sun, Liyang	2022	1	1	1.0	0.015	0.406	100%
19	Matsushita, Yukitoshi and Otsu, Taisuke	2024	1	1	1.0	0.015	0.406	100%
20			1	1	1.0	0.015	0.406	100%
21	Dov\`\i	2024	1	1	1.0	0.015	0.406	100%
22			1	1	1.0	0.015	0.406	100%
23	Navjeevan, Manu	2023	1	1	1.0	0.015	0.406	100%
24	Boot, Tom and Nibbering, Didier	2024	1	1	1.0	0.015	0.406	100%
25	Lim, Dennis and Wang, Wenjie and Zhang, Yichong	2024	1	1	1.0	0.015	0.406	100%
26	Yap, Luther	2024	1	1	1.0	0.015	0.406	100%
27			1	1	1.0	0.015	0.406	100%
28			1	1	1.0	0.015	0.406	100%
29			1	1	1.0	0.015	0.406	100%
30	Wang, Wenjie and Liu, Qingfeng	2015	1	1	1.0	0.015	0.406	100%
31			1	1	1.0	0.015	0.406	100%
32			1	1	1.0	0.015	0.406	100%
33			1	1	1.0	0.015	0.406	100%
34	MacKinnon, James G	2023	1	1	1.0	0.015	0.406	100%
35	Wang, Wenjie and Zhang, Yichong	2024	1	1	1.0	0.015	0.406	100%

Reference

Year

Mentions

Breadth

Sec. Wtd

Composite

Main %

Cattaneo, Matias D and Jansson, Michael and Newey,...

2018

16.5

0.179

0.909

75%

Jochmans, Koen

2022

23.0

0.284

0.834

58%

2.0

0.030

0.644

100%

2.0

0.030

0.644

100%

van der Vaart, AW and Wellner, Jon

1996

2.5

0.030

0.511

50%

Cattaneo, Matias D and Jansson, Michael and Newey,...

2018

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

El Karoui, Noureddine and Purdom, Elizabeth

2018

1.0

0.015

0.406

100%

Mammen, Enno

1993

1.0

0.015

0.406

100%

2.0

0.015

0.406

100%

2.0

0.015

0.406

100%

2.0

0.015

0.406

100%

2.0

0.015

0.406

100%

Evdokimov, Kirill and others

2018

1.0

0.015

0.406

100%

Crudu, Federico and Mellace, Giovanni and Sa

2021

1.0

0.015

0.406

100%

Mikusheva, Anna and Sun, Liyang

2022

1.0

0.015

0.406

100%

Matsushita, Yukitoshi and Otsu, Taisuke

2024

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

Dov\`\i

2024

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

Navjeevan, Manu

2023

1.0

0.015

0.406

100%

Boot, Tom and Nibbering, Didier

2024

1.0

0.015

0.406

100%

Lim, Dennis and Wang, Wenjie and Zhang, Yichong

2024

1.0

0.015

0.406

100%

Yap, Luther

2024

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

Wang, Wenjie and Liu, Qingfeng

2015

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

1.0

0.015

0.406

100%

MacKinnon, James G

2023

1.0

0.015

0.406

100%

Wang, Wenjie and Zhang, Yichong

2024

1.0

0.015

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.