Jason Abrevaya

3.0k total citations
50 papers, 1.9k citations indexed

About

Jason Abrevaya is a scholar working on Economics and Econometrics, Statistics and Probability and Gender Studies. According to data from OpenAlex, Jason Abrevaya has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 20 papers in Statistics and Probability and 9 papers in Gender Studies. Recurrent topics in Jason Abrevaya's work include Spatial and Panel Data Analysis (16 papers), Statistical Methods and Inference (14 papers) and Statistical Methods and Bayesian Inference (8 papers). Jason Abrevaya is often cited by papers focused on Spatial and Panel Data Analysis (16 papers), Statistical Methods and Inference (14 papers) and Statistical Methods and Bayesian Inference (8 papers). Jason Abrevaya collaborates with scholars based in United States, Taiwan and Austria. Jason Abrevaya's co-authors include Jerry A. Hausman, Christian M. Dahl, Daniel S. Hamermesh, Jian Huang, Wei Jiang, Robert P. Lieli, Thomas A. Timmerman, Richard P. Larrick, Andrew M. Carton and Zafer D. Özdemir and has published in prestigious journals such as American Economic Review, Econometrica and Psychological Science.

In The Last Decade

Jason Abrevaya

50 papers receiving 1.8k citations

Peers

Jason Abrevaya
Comparison fields: 5 of 131
  • Economics and Econometrics 737
  • Statistics and Probability 505
  • Sociology and Political Science 307
  • Gender Studies 298
  • General Health Professions 176
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Citations per field, relative to Jason Abrevaya
Jason Abrevaya · 1×
Citations per year, relative to Jason Abrevaya
Jason Abrevaya · 1×

Countries citing papers authored by Jason Abrevaya

Since Specialization
Citations

This map shows the geographic impact of Jason Abrevaya'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 Jason Abrevaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Abrevaya more than expected).

Fields of papers citing papers by Jason Abrevaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Abrevaya. 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 Jason Abrevaya. The network helps show where Jason Abrevaya may publish in the future.

Co-authorship network of co-authors of Jason Abrevaya

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Abrevaya. A scholar is included among the top collaborators of Jason Abrevaya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Abrevaya. Jason Abrevaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 4
4 20
5 1
6 64
7 7
8 58
9 74
10 53
11 24
12 6
13 216
14
Effects of Bilateral Trade on Migration Flows: the case of the United States
4
15 33
16
Isotonic Quantile Regression: Asymptotics and Bootstrap
6
17 13
18
Semiparametric estimation with mismeasured dependent variables: an application to duration models for unemployment spells
36
19 19
20 380

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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