Citation Analysis – Detailed Gender Wage Gap Decompositions: \\ Controlling for Worker Unobserved Heterogeneity Using Network Theory

Detailed Gender Wage Gap Decompositions: \\ Controlling for Worker Unobserved Heterogeneity Using Network Theory
Jamie Fogel, Bernardo Modenesi
https://arxiv.org/abs/2405.04365

Citation mentions

Cited references

Sections

5,301

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	Fogel and Modenesi (self)	2023	8	6	13.0	0.110	1.000	100%
2	Oaxaca	1973	3	3	5.0	0.041	0.843	100%
3	Blinder	1973	3	3	5.0	0.041	0.843	100%
4	Fortin, Lemieux and Firpo	2011	3	3	5.0	0.041	0.843	100%
5	Modenesi (self)	2022	4	2	6.0	0.055	0.811	100%
6	Nopo	2008	4	2	6.0	0.055	0.811	100%
7	DiNardo, Fortin and Lemieux	1996	3	2	4.0	0.041	0.737	100%
8	Lindenlaub	2017	3	2	5.0	0.041	0.737	100%
9	Tan	2018	3	2	5.0	0.041	0.737	100%
10	Peixoto	2018	3	2	4.0	0.041	0.737	100%
11	Chernozhukov, Fernández-Val and Melly	2013	2	2	3.0	0.027	0.644	100%
12	Acemoglu and Autor	2011	2	2	3.0	0.027	0.644	100%
13	Larremore, Clauset and Jacobs	2014	2	2	3.0	0.027	0.644	100%
14	Goldin	2014	3	1	3.0	0.041	0.585	100%
15	Garcia, Nopo and Salardi	2009	3	1	3.0	0.041	0.585	100%
16	Morello and Anjolim	2021	2	1	2.0	0.027	0.511	100%
17	Hurst, Rubinstein and Shimizu	2021	2	1	2.0	0.027	0.511	100%
18	Karrer and Newman	2011	2	1	4.0	0.027	0.511	100%
19	Roy	1951	1	1	1.0	0.014	0.406	100%
20	Barsky, Bound, Charles and Lupton	2002	1	1	1.0	0.014	0.406	100%
21	Firpo, Fortin and Lemieux	2018	1	1	1.0	0.014	0.406	100%
22	Card, Cardoso and Kline	2015	1	1	1.0	0.014	0.406	100%
23	Card, Cardoso, Heining and Kline	2018	1	1	1.0	0.014	0.406	100%
24	Gerard, Lagos, Severnini and Card	2018	1	1	1.0	0.014	0.406	100%
25	Autor, Levy and Murnane	2003	1	1	1.0	0.014	0.406	100%
26	Autor	2013	1	1	1.0	0.014	0.406	100%
27	Kantenga	2018	1	1	1.0	0.014	0.406	100%
28	Sorkin	2018	1	1	1.0	0.014	0.406	100%
29	Nimczik	2018	1	1	1.0	0.014	0.406	100%
30	Jarosch, Nimczik and Sorkin	2019	1	1	1.0	0.014	0.406	100%
31	Peixoto	2019	1	1	1.0	0.014	0.406	100%
32	Peixoto	2017	1	1	2.0	0.014	0.406	100%
33	Peixoto	2014	1	1	2.0	0.014	0.406	100%
34	Train	2010	2	1	1.0	0.027	0.110	0%
35	McFadden	1978	1	1	0.5	0.014	0.087	0%

Reference

Year

Mentions

Breadth

Sec. Wtd

Composite

Main %

Fogel and Modenesi (self)

2023

13.0

0.110

1.000

100%

Oaxaca

1973

5.0

0.041

0.843

100%

Blinder

1973

5.0

0.041

0.843

100%

Fortin, Lemieux and Firpo

2011

5.0

0.041

0.843

100%

Modenesi (self)

2022

6.0

0.055

0.811

100%

Nopo

2008

6.0

0.055

0.811

100%

DiNardo, Fortin and Lemieux

1996

4.0

0.041

0.737

100%

Lindenlaub

2017

5.0

0.041

0.737

100%

Tan

2018

5.0

0.041

0.737

100%

Peixoto

2018

4.0

0.041

0.737

100%

Chernozhukov, Fernández-Val and Melly

2013

3.0

0.027

0.644

100%

Acemoglu and Autor

2011

3.0

0.027

0.644

100%

Larremore, Clauset and Jacobs

2014

3.0

0.027

0.644

100%

Goldin

2014

3.0

0.041

0.585

100%

Garcia, Nopo and Salardi

2009

3.0

0.041

0.585

100%

Morello and Anjolim

2021

2.0

0.027

0.511

100%

Hurst, Rubinstein and Shimizu

2021

2.0

0.027

0.511

100%

Karrer and Newman

2011

4.0

0.027

0.511

100%

Roy

1951

1.0

0.014

0.406

100%

Barsky, Bound, Charles and Lupton

2002

1.0

0.014

0.406

100%

Firpo, Fortin and Lemieux

2018

1.0

0.014

0.406

100%

Card, Cardoso and Kline

2015

1.0

0.014

0.406

100%

Card, Cardoso, Heining and Kline

2018

1.0

0.014

0.406

100%

Gerard, Lagos, Severnini and Card

2018

1.0

0.014

0.406

100%

Autor, Levy and Murnane

2003

1.0

0.014

0.406

100%

Autor

2013

1.0

0.014

0.406

100%

Kantenga

2018

1.0

0.014

0.406

100%

Sorkin

2018

1.0

0.014

0.406

100%

Nimczik

2018

1.0

0.014

0.406

100%

Jarosch, Nimczik and Sorkin

2019

1.0

0.014

0.406

100%

Peixoto

2019

1.0

0.014

0.406

100%

Peixoto

2017

2.0

0.014

0.406

100%

Peixoto

2014

2.0

0.014

0.406

100%

Train

2010

1.0

0.027

0.110

McFadden

1978

0.5

0.014

0.087

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.