Daphne Chen
Impact in
-
- Financial Literacy, Pension, Retirement Analysis
- Corporate Taxation and Avoidance
-
- Fiscal Policy and Economic Growth
- Taxation and Compliance Studies
- Housing Market and Economics
- Economic theories and models
Papers in
-
- Corporate Taxation and Avoidance 3
- Financial Literacy, Pension, Retirement Analysis 2
-
- Fiscal Policy and Economic Growth 3
- Housing Market and Economics 1
- Co-authors
- Gueorgui Kambourov (2 shared papers)Fatih Guvenen (2 shared papers)Shi Qi (2 shared papers)Don Schlagenhauf (1 shared paper)Dean Corbae (1 shared paper)Tina Yu (1 shared paper)Reid Simmons (1 shared paper)Zackory Erickson (1 shared paper)
- Journals
- Economic Inquiry (1 paper)American Economic Journal Macroeconomics (1 paper)The Quarterly Journal of Economics (1 paper)Journal of Macroeconomics (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daphne Chen
6 papers receiving 58 citations
Peers
Comparison fields: 5 of 16
- Accounting 41
- Economics and Econometrics 56
- Gender Studies 12
- General Economics, Econometrics and Finance 7
- Finance 8
Countries citing papers authored by Daphne Chen
This map shows the geographic impact of Daphne Chen'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 Daphne Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphne Chen more than expected).
Fields of papers citing papers by Daphne Chen
This network shows the impact of papers produced by Daphne Chen. 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 Daphne Chen. The network helps show where Daphne Chen may publish in the future.
Co-authors
The 8 scholars most cited alongside Daphne Chen, 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 | 2023 | 27 | |
| 2 | 2019 | 14 | |
| 3 | 2018 | 12 | |
| 4 | 2016 | 6 | |
| 5 | 2011 | 2 | |
| 6 | 2016 | 1 | |
| 7 | 2011 | 1 | |
| 8 | 2025 | 0 |
About Daphne Chen
Daphne Chen is a scholar working on Accounting, Economics and Econometrics, Finance, Gender Studies and Information Systems, having authored 8 papers that have together received 63 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (3 papers), Corporate Taxation and Avoidance (3 papers), Gender, Labor, and Family Dynamics (2 papers), Financial Literacy, Pension, Retirement Analysis (2 papers), Banking stability, regulation, efficiency (1 paper), Housing Market and Economics (1 paper), Housing, Finance, and Neoliberalism (1 paper) and Second Language Learning and Teaching (1 paper). The work is most often cited by research in Accounting (41 citations), Economics and Econometrics (56 citations), Gender Studies (12 citations), General Economics, Econometrics and Finance (7 citations) and Finance (8 citations). Daphne Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gueorgui Kambourov, Fatih Guvenen, Shi Qi, Don Schlagenhauf, Dean Corbae, Tina Yu, Reid Simmons and Zackory Erickson. Their work appears in journals such as Economic Inquiry, American Economic Journal Macroeconomics, The Quarterly Journal of Economics, Journal of Macroeconomics and SSRN Electronic 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.