Jonathan Shaw
Impact in
- Gender Studies top 5%
- Gender, Labor, and Family Dynamics
- Economics and Econometrics top 5%
- Labor market dynamics and wage inequality
- Taxation and Compliance Studies
- Economic and Fiscal Studies
- Economic theories and models
Papers in
-
- Gender, Labor, and Family Dynamics 2
-
- Income, Poverty, and Inequality 4
- Intergenerational and Educational Inequality Studies 1
- Co-authors
- Costas Meghir (1 shared paper)Mónica Costa Dias (1 shared paper)Richard Blundell (1 shared paper)Arun Advani (1 shared paper)Alice Mesnard (1 shared paper)Lorraine Dearden (1 shared paper)Christopher Rauh (1 shared paper)Chris Belfield (1 shared paper)
- Journals
- Fiscal Studies (2 papers)Econometric Reviews (2 papers)Economica (1 paper)The Journal of Economic Inequality (1 paper)The Review of Economics and Statistics (1 paper)
- Partner nations
- United KingdomGermanyCanada
In The Last Decade
Jonathan Shaw
11 papers receiving 233 citations
Peers
Comparison fields: 5 of 29
- Gender Studies 90
- Economics and Econometrics 121
- General Decision Sciences 5
- Accounting 19
- Demography 13
Countries citing papers authored by Jonathan Shaw
This map shows the geographic impact of Jonathan Shaw'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 Jonathan Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Shaw more than expected).
Fields of papers citing papers by Jonathan Shaw
This network shows the impact of papers produced by Jonathan Shaw. 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 Jonathan Shaw. The network helps show where Jonathan Shaw may publish in the future.
Co-authors
The 21 scholars most cited alongside Jonathan Shaw, 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 | 2016 | 162 | |
| 2 | 2021 | 35 | |
| 3 | 2006 | 12 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 6 | |
| 6 | 2015 | 5 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 4 | |
| 9 | Eradicating child poverty | 2007 | 2 |
| 10 | 2020 | 2 | |
| 11 | More tax increases or spending cuts needed to pay for cost of credit crunch | 2009 | 1 |
| 12 | Inequality under Labour | 2005 | 0 |
| 13 | 2015 | 0 |
About Jonathan Shaw
Jonathan Shaw is a scholar working on Gender Studies, Sociology and Political Science, Economics and Econometrics, Safety Research and Management Science and Operations Research, having authored 13 papers that have together received 246 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (4 papers), Gender, Labor, and Family Dynamics (2 papers), School Choice and Performance (1 paper), Taxation and Compliance Studies (1 paper), Maternal and Neonatal Healthcare (1 paper), Higher Education Research Studies (1 paper), Intergenerational and Educational Inequality Studies (1 paper) and Data Analysis with R (1 paper). The work is most often cited by research in Gender Studies (90 citations), Economics and Econometrics (121 citations), General Decision Sciences (5 citations), Accounting (19 citations) and Demography (13 citations). Jonathan Shaw has collaborated with scholars based in United Kingdom, Germany and Canada. Frequent co-authors include Costas Meghir, Mónica Costa Dias, Richard Blundell, Arun Advani, Alice Mesnard, Lorraine Dearden, Christopher Rauh, Chris Belfield, Peter Levell and Barra Roantree. Their work appears in journals such as Fiscal Studies, Econometric Reviews, Economica, The Journal of Economic Inequality and The Review of Economics and Statistics.
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.