Citation Analysis

\textbfNested Pseudo-GMM Estimation \\ of Demand for Differentiated Products
Victor Aguirregabiria, Hui Liu, Yao Luo
https://arxiv.org/abs/2602.05137
63
Citation mentions
24
Cited references
10
Sections
7,292
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 Dube 2012 9 5 17.0 0.143 1.000 100%
2 Lee, Jinhyuk and Seo, Kyoungwon 2015 12 7 19.0 0.190 1.000 100%
3 Aguirregabiria, Victor and Mira, Pedro (self) 2002 5 3 7.0 0.079 1.000 100%
4 Aguirregabiria, Victor and Mira, Pedro (self) 2007 5 3 7.0 0.079 1.000 100%
5 Berry, Steven and Levinsohn, James and Pakes, Arie... 1995 5 4 7.0 0.079 0.843 60%
6 Conlon, Christopher and Gortmaker, Jeff 2020 4 2 6.0 0.063 0.811 100%
7 Berry, Steven T 1994 3 2 6.0 0.048 0.737 100%
8 Lin, Zhongjian and Tang, Xun and Xiao, Mo 2024 2 2 3.0 0.032 0.644 100%
9 Dearing, Adam and Blevins, Jason R 2025 2 2 3.0 0.032 0.644 100%
10 Aguirregabiria, Victor and Guiton, Francis (self) 2023 2 1 4.0 0.032 0.511 100%
11 Nevo, Aviv 2000 1 1 1.0 0.016 0.406 100%
12 Petrin, Amil 2002 1 1 1.0 0.016 0.406 100%
13 Bayer, Patrick and Ferreira, Fernando and McMillan... 2007 1 1 1.0 0.016 0.406 100%
14 Fan, Ying 2013 1 1 1.0 0.016 0.406 100%
15 Ackerberg, Daniel and Benkard, C Lanier and Berry,... 2007 1 1 1.0 0.016 0.406 100%
16 Fox, Jeremy T and Kim, Kyoo Il and Ryan, Stephen P... 2011 1 1 1.0 0.016 0.406 100%
17 Kalouptsidi, Myrto 2012 1 1 1.0 0.016 0.406 100%
18 Lu, Zhentong and Shi, Xiaoxia and Tao, Jing 2023 1 1 1.0 0.016 0.406 100%
19 Wang, Ao 2023 1 1 1.0 0.016 0.406 100%
20 Compiani, Giovanni 2022 1 1 1.0 0.016 0.406 100%
21 Knittel, Christopher R and Metaxoglou, Konstantino... 2014 1 1 1.0 0.016 0.406 100%
22 Combris, Pierre and Lecocq, Sebastien and Visser, ... 1997 1 1 2.0 0.016 0.406 100%
23 Ashenfelter, Orley 2008 1 1 2.0 0.016 0.406 100%
24 Nevo, Aviv 2001 1 1 2.0 0.016 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.