Jason Abrevaya
- Economics and Econometrics top 1%
- Statistics and Probability top 0.5%
- Sociology and Political Science top 5%
- Gender Studies top 2%
- General Health Professions top 10%
- Co-authors
- Jerry A. HausmanChristian M. DahlDaniel S. HamermeshJian HuangWei JiangRobert P. LieliThomas A. TimmermanRichard P. Larrick
- Topics
- Spatial and Panel Data Analysis (16 papers)Statistical Methods and Inference (14 papers)Statistical Methods and Bayesian Inference (8 papers)
- Partner nations
- United StatesTaiwanAustria
In The Last Decade
Jason Abrevaya
50 papers receiving 1.8k citations
Peers
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
Countries citing papers authored by Jason Abrevaya
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
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
| # | 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 |
About Jason Abrevaya
Jason Abrevaya is a scholar working on Statistics and Probability, Economics and Econometrics and Gender Studies, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (16 papers), Statistical Methods and Inference (14 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (505 citations), Gender Studies (298 citations) and Economics and Econometrics (737 citations). Jason Abrevaya has collaborated with scholars based in United States, Taiwan and Austria. Frequent 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. Their work appears in journals such as American Economic Review, Econometrica and Psychological Science.
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.