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Citation Analysis

Correcting Nonresponse Bias Using Panel Data \\ on Data Requests and Responses% % Data Requests Over Time \\ % Can Be Used % as Nonresponse Correction Instruments% %Using Request and Response Panel Data to Correct Nonresponse Bias % A Nonresponse Bias Correction using Nonrandom Follow-up with an Application to the Gender Entrepreneurship Gap% %
Clint Harris, Jon Eckhardt, Brent Goldfarb
https://arxiv.org/abs/2404.17693
64
Citation mentions
35
Cited references
6
Sections
4,003
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 Heckman, James J 1979 9 5 16.0 0.141 1.000 100%
2 Van de Ven, Wynand PMM and Van Praag, Bernard MS 1981 7 4 12.0 0.109 1.000 100%
3 Dutz, Deniz and Huitfeldt, Ingrid and Lacouture, S... 2025 5 4 8.0 0.078 1.000 100%
4 Imbens, Guido W and Angrist, Joshua D 1994 5 4 8.0 0.078 1.000 100%
5 Angrist, Joshua D and Imbens, Guido W and Rubin, D... 1996 3 3 5.0 0.047 0.843 100%
6 Behaghel, Luc and Cre 2015 2 2 3.0 0.031 0.644 100%
7 Heckman, James J and Vytlacil, Edward 2005 2 2 3.0 0.031 0.644 100%
8 Heckman, James J and Vytlacil, Edward J 2007 2 2 3.0 0.031 0.644 100%
9 Horowitz, Joel L and Manski, Charles F 2000 2 2 4.0 0.031 0.644 100%
10 Lee, David S 2009 2 2 4.0 0.031 0.644 100%
11 Abaluck, Jason and others 2022 1 1 1.0 0.016 0.406 100%
12 Duflo, Esther and Dupas, Pascaline and Kremer, Mic... 2015 1 1 1.0 0.016 0.406 100%
13 Katz, Lawrence F and Kling, Jeffrey R and Liebman,... 2001 1 1 1.0 0.016 0.406 100%
14 Spiers, Samantha 2022 1 1 1.0 0.016 0.406 100%
15 Bureau of Labor Statistics 2023 1 1 1.0 0.016 0.406 100%
16 Internal Revenue Service 2024 1 1 1.0 0.016 0.406 100%
17 Heckman, James J 1976 1 1 1.0 0.016 0.406 100%
18 Manski, Charles F 1990 1 1 1.0 0.016 0.406 100%
19 Manski, Charles F. 1994 1 1 1.0 0.016 0.406 100%
20 Charles F. Manski and John V. Pepper 2000 1 1 1.0 0.016 0.406 100%
21 Rubin, Donald B 1974 1 1 2.0 0.016 0.406 100%
22 Vytlacil, Edward 2002 1 1 2.0 0.016 0.406 100%
23 DiNardo, John and Matsudaira, Jordan and McCrary, ... 2021 1 1 2.0 0.016 0.406 100%
24 Stantcheva, Stefanie 2023 1 1 2.0 0.016 0.406 100%
25 Aldrich, Howard 2005 1 1 2.0 0.016 0.406 100%
26 Canning, Jessica and Haque, Maryam and Wang, Yimen... 2012 1 1 2.0 0.016 0.406 100%
27 Greene, Patricia G and Hart, Myra M and Gatewood, ... 2003 1 1 2.0 0.016 0.406 100%
28 ICE 2016 1 1 2.0 0.016 0.406 100%
29 Kitagawa, Evelyn M 1955 1 1 2.0 0.016 0.406 100%
30 Oaxaca, Ronald 1973 1 1 2.0 0.016 0.406 100%
31 Blinder, Alan S 1973 1 1 2.0 0.016 0.406 100%
32 Blandhol, Christine and Bonney, John and Mogstad, ... 2022 1 1 2.0 0.016 0.406 100%
33 Fairlie, Robert W 2005 1 1 2.0 0.016 0.406 100%
34 Horowitz, Joel L and Manski, Charles F 1998 1 1 2.0 0.016 0.406 100%
35 Sean J. Westwood 2025 1 1 1.0 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.

Citation intensity data generated from LaTeX source analysis.