Jed DeVaro

1.3k citations
28 papers · 853 · h-index 13

Impact in

    • Gender Diversity and Inequality
    • Gender, Labor, and Family Dynamics
    • Experimental Behavioral Economics Studies

Papers in

Jed DeVaro

25 papers receiving 787 citations

Peers

Jed DeVaro
Comparison fields: 5 of 57
  • Gender Studies 195
  • Safety Research 160
  • Public Administration 69
  • Economics and Econometrics 463
  • Organizational Behavior and Human Resource Management 152
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Countries citing papers authored by Jed DeVaro

Since Specialization
Citations

This map shows the geographic impact of Jed DeVaro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jed DeVaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jed DeVaro more than expected).

Fields of papers citing papers by Jed DeVaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jed DeVaro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jed DeVaro. The network helps show where Jed DeVaro may publish in the future.

Co-authors

The 19 scholars most cited alongside Jed DeVaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jed DeVaro Line = papers co-authored together Jed DeVaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007220
2 2011112
3 2006104
4 200569
5 201666
6 201353
7 201041
8 200734
9 200632
10 201219
11 201918
12 201815
13 201915
14
Errors in Variables and Lending Discrimination, Federal Reserve Bank of Richmond Economic Quarterly, 81(3), Summer 1995, 19-32. (with Jeffrey Lacker)
19958
15 20168
16 20126
17
The Signaling Role of Promotions: New Evidence from European Firms
20126
18 20206
19
Was the Disinflation of the Early 1980s Anticipated? Federal Reserve Bank of Richmond Economic Quarterly, Fall 1995, 41-60. (with Michael Dotsey)
19955
20
Waging the War for Talent: Do Recruitment and Screening Strategies Raise Employee Performance?
20055

About Jed DeVaro

Jed DeVaro is a scholar working on Economics and Econometrics, Safety Research, Public Administration, Accounting and Strategy and Management, having authored 28 papers that have together received 853 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (18 papers), Experimental Behavioral Economics Studies (5 papers), Labor Movements and Unions (5 papers), Economic Policies and Impacts (4 papers), Corporate Finance and Governance (4 papers), Merger and Competition Analysis (3 papers), Employment and Welfare Studies (2 papers) and Human Resource and Talent Management (2 papers). The work is most often cited by research in Gender Studies (195 citations), Safety Research (160 citations), Public Administration (69 citations), Economics and Econometrics (463 citations) and Organizational Behavior and Human Resource Management (152 citations). Jed DeVaro has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Francine D. Blau, Michael Waldman, Antti Kauhanen, Hodaka Morita, Hugh Cassidy, Fidan Ana Kurtulus, Daniel H. Simon, Cindy Zoghi, Suman Ghosh and Gary S. Fields. Their work appears in journals such as Journal of Labor Economics, Industrial and Labor Relations Review, Industrial Relations A Journal of Economy and Society, International Economic Review and Strategic Management Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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