Daniel Feenberg
Impact in
- Accounting top 2%
- Financial Literacy, Pension, Retirement Analysis
- Gender Studies top 2%
- Gender, Labor, and Family Dynamics
Papers in
-
- Corporate Taxation and Avoidance 3
- Financial Literacy, Pension, Retirement Analysis 3
- Co-authors
- Alan J. AuerbachJonathan SkinnerIna GanguliJonathan GruberPatrick GauléJeffrey A. MironLawrence H. SummersCharles T. Clotfelter
- Journals
- The Review of Economics and Statistics (2 papers)Journal of Business and Economic Statistics (2 papers)National Tax Journal (2 papers)Journal of Financial Economics (1 paper)Tax Policy and the Economy (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Daniel Feenberg
11 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Accounting 403
- Gender Studies 328
- Economics and Econometrics 707
- General Economics, Econometrics and Finance 109
- Finance 112
Countries citing papers authored by Daniel Feenberg
This map shows the geographic impact of Daniel Feenberg'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 Daniel Feenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Feenberg more than expected).
Fields of papers citing papers by Daniel Feenberg
This network shows the impact of papers produced by Daniel Feenberg. 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 Daniel Feenberg. The network helps show where Daniel Feenberg may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Daniel Feenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evolution of Tax Progressivity in the U.S.: New Estimates and Welfare Implications | 2017 | 1 |
| 2 | 2016 | 39 | |
| 3 | 2000 | 2 | |
| 4 | 2000 | 149 | |
| 5 | 1997 | 2 | |
| 6 | 1997 | 3 | |
| 7 | 1994 | 60 | |
| 8 | An Introduction to the TAXSIM Model Hit paper breakdown → | 1993 | 624 |
| 9 | 1991 | 1 | |
| 10 | 1990 | 2 | |
| 11 | 1987 | 86 | |
| 12 | 1981 | 29 | |
| 13 | The value of improved (ERS) information based on domestic distribution effects of U.S. agriculture crops | 1974 | 1 |
About Daniel Feenberg
Daniel Feenberg is a scholar working on General Decision Sciences, Accounting, Economics and Econometrics, General Economics, Econometrics and Finance and General Agricultural and Biological Sciences, having authored 13 papers that have together received 999 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (7 papers), Corporate Taxation and Avoidance (3 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Healthcare Policy and Management (2 papers), Global Health Care Issues (2 papers), Taxation and Compliance Studies (2 papers), Local Government Finance and Decentralization (2 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Accounting (403 citations), Gender Studies (328 citations), Economics and Econometrics (707 citations), General Economics, Econometrics and Finance (109 citations) and Finance (112 citations). Daniel Feenberg has collaborated with scholars based in United States and Czechia. Frequent co-authors include Alan J. Auerbach, Jonathan Skinner, Ina Ganguli, Jonathan Gruber, Patrick Gaulé, Jeffrey A. Miron, Lawrence H. Summers, Charles T. Clotfelter, David F. Bradford and J.J. Gross. Their work appears in journals such as The Review of Economics and Statistics, Journal of Business and Economic Statistics, National Tax Journal, Journal of Financial Economics and Tax Policy and the Economy.
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.