Citation Analysis

Allowing for weak identification when testing GARCH-X type models
Philipp Ketz
https://arxiv.org/abs/2210.11398
22
Citation mentions
12
Cited references
9
Sections
3,651
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 Andrews, D. W. K 2001 8 3 8.5 0.364 0.721 38%
2 Andrews, D. W. K. and X. Cheng 2012 2 2 2.0 0.091 0.511 50%
3 Pedersen, R. S. and A. Rahbek 2019 2 2 2.0 0.091 0.511 50%
4 Leeb, H. and B. M. Potscher 2005 1 1 1.0 0.045 0.406 100%
5 Leeb, H. and B. M. Potscher 2008 1 1 1.0 0.045 0.406 100%
6 Cox, G 2022 1 1 1.0 0.045 0.406 100%
7 Ketz, P (self) 2018 1 1 2.0 0.045 0.406 100%
8 Andrews, D. W. K. and P. Guggenberger 2010 1 1 2.0 0.045 0.406 100%
9 Andrews, D. W. K 1999 1 1 2.0 0.045 0.406 100%
10 Kopylev, L. and B. Sinha 2011 1 1 2.0 0.045 0.406 100%
11 Mikosch, T. and C. Starica 2000 1 1 2.0 0.045 0.406 100%
12 Hansen, B. E 1996 2 2 1.0 0.091 0.139 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.