Jae Song
- Economics and Econometrics top 0.2%
- General Health Professions top 1%
- Accounting top 1%
- Demography top 0.5%
- General Economics, Econometrics and Finance top 1%
- Co-authors
- Fatih GuvenenTill von WachterSerdar OzkanJoyce ManchesterWill DobbieDavid AutorGordon HansonDavid Dorn
- Topics
- Retirement, Disability, and Employment (35 papers)Financial Literacy, Pension, Retirement Analysis (33 papers)Labor market dynamics and wage inequality (30 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Jae Song
77 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Economics and Econometrics 2.2k
- General Health Professions 990
- Accounting 910
- Demography 743
- General Economics, Econometrics and Finance 628
Countries citing papers authored by Jae Song
This map shows the geographic impact of Jae Song'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 Jae Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Song more than expected).
Fields of papers citing papers by Jae Song
This network shows the impact of papers produced by Jae Song. 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 Jae Song. The network helps show where Jae Song may publish in the future.
Co-authorship network of co-authors of Jae Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jae Song. A scholar is included among the top collaborators of Jae Song 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 Jae Song. Jae Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 70 | |
| 7 | 69 | |
| 8 | Sources of Inequality in Earnings Growth Over the Life Cycle | 1 |
| 9 | Firming Up Inequality*breakdown → | 367 |
| 10 | 2 | |
| 11 | 46 | |
| 12 | Trade Adjustment: Worker-Level Evidence*breakdown → | 417 |
| 13 | 24 | |
| 14 | 159 | |
| 15 | What Do Data on Millions of U.S. Workers Say About Labor Income Risk | 2 |
| 16 | 2 | |
| 17 | What can we learn from analyzing historical data on social security entitlements? | 1 |
| 18 | Stylized Facts and Incentive Effects Related to Claiming of Retirement Benefits Based on Social Security Administration Data | 1 |
| 19 | Long-Term Earnings Losses Due to Job Separation During the 1982 Recession: An Analysis Using Longitudinal Administrative Data from 1974 to 2004 | 35 |
| 20 | 2 |
About Jae Song
Jae Song is a scholar working on Demography, Accounting and Economics and Econometrics, having authored 80 papers that have together received 3.4k indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (35 papers), Financial Literacy, Pension, Retirement Analysis (33 papers) and Labor market dynamics and wage inequality (30 papers). The work is most often cited by research in Accounting (910 citations), Economics and Econometrics (2.2k citations) and General Economics, Econometrics and Finance (628 citations). Jae Song has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Fatih Guvenen, Till von Wachter, Serdar Ozkan, Joyce Manchester, Will Dobbie, David Autor, Gordon Hanson, David Dorn, Wojciech Kopczuk and Emmanuel Saez. Their work appears in journals such as The Journal of Finance, American Economic Review and The Quarterly Journal of Economics.
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.