Matthew Rognlie

2.2k citations
26 papers · 652 · h-index 12

Impact in

Papers in

Matthew Rognlie

24 papers receiving 602 citations

Peers

Matthew Rognlie
Comparison fields: 5 of 54
  • General Economics, Econometrics and Finance 289
  • Economics and Econometrics 522
  • Finance 159
  • Accounting 86
  • Management Science and Operations Research 63
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Vassilios Babalos Greece
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Citations per year

Countries citing papers authored by Matthew Rognlie

Since Specialization
Citations

This map shows the geographic impact of Matthew Rognlie'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 Matthew Rognlie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Rognlie more than expected).

Fields of papers citing papers by Matthew Rognlie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Rognlie. 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 Matthew Rognlie. The network helps show where Matthew Rognlie may publish in the future.

Co-authors

The 6 scholars most cited alongside Matthew Rognlie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Rognlie Line = papers co-authored together Matthew Rognlie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016190
2
Preference functions that score rankings and maximum likelihood estimation
200979
3 202176
4
A note on Piketty and diminishing returns to capital
201460
5 201836
6 202026
7
Deciphering the fall and rise in the net capital share
201525
8 201624
9 202123
10 202420
11 202319
12 201711
13 202111
14 202311
15 20149
16 20239
17 20238
18 20213
19 20193
20
Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models
20192

About Matthew Rognlie

Matthew Rognlie is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Accounting and General Health Professions, having authored 26 papers that have together received 652 indexed citations. Recurring topics across this work include Economic theories and models (17 papers), Monetary Policy and Economic Impact (12 papers), Economic Theory and Policy (8 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Fiscal Policy and Economic Growth (4 papers), Economic Policies and Impacts (3 papers), Global Financial Crisis and Policies (3 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (289 citations), Economics and Econometrics (522 citations), Finance (159 citations), Accounting (86 citations) and Management Science and Operations Research (63 citations). Matthew Rognlie has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Adrien Auclert, Ludwig Straub, Lirong Xia, Vincent Conitzer, Andrei Shleifer and Alp Simsek. Their work appears in journals such as NBER Macroeconomics Annual, Brookings Papers on Economic Activity, Econometrica, The Review of Economics and Statistics 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.

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