Marcus Hagedorn

1.3k citations
26 papers · 388 · h-index 10

Impact in

Papers in

Marcus Hagedorn

24 papers receiving 371 citations

Peers

Marcus Hagedorn
Comparison fields: 5 of 33
  • General Economics, Econometrics and Finance 158
  • Economics and Econometrics 347
  • Accounting 52
  • Finance 29
  • General Health Professions 63
Replace Marcelo Veracierto with:
Marcelo Veracierto United States
Michael J. Pries United States
Michael U. Krause Germany
Niklas Engbom United States
Julen Esteban‐Pretel Japan
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Andrew Figura United States
Carlos Carrillo‐Tudela United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Marcus Hagedorn

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Hagedorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Marcus Hagedorn, 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 Marcus Hagedorn Line = papers co-authored together Marcus Hagedorn 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 2008124
2 201369
3 201940
4 201128
5 200421
6
Unemployment Benefits and Unemployment in the Great Recession: The Role of Macro Effects
201319
7 201612
8 201210
9 200710
10 20089
11 20099
12 20027
13 20115
14 20105
15
Dynamic Efficiency and Pareto Optimality in a Stochastic OLG Model with Production and Social Security
20004
16 20063
17 20003
18
The Fiscal Multiplier
20172
19
Search Frictions and Wage Dispersion
20112
20 20012

About Marcus Hagedorn

Marcus Hagedorn is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Accounting, General Health Professions and Demography, having authored 26 papers that have together received 388 indexed citations. Recurring topics across this work include Economic theories and models (15 papers), Labor market dynamics and wage inequality (10 papers), Monetary Policy and Economic Impact (8 papers), Fiscal Policy and Economic Growth (6 papers), Economic Theory and Policy (6 papers), Economic Policies and Impacts (4 papers), Financial Literacy, Pension, Retirement Analysis (4 papers) and Employment and Welfare Studies (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (158 citations), Economics and Econometrics (347 citations), Accounting (52 citations), Finance (29 citations) and General Health Professions (63 citations). Marcus Hagedorn has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Iourii Manovskii, Ashok Kaul, Kurt Mitman, Jinfeng Luo and Fatih Karahan. Their work appears in journals such as Journal of Economic Theory, Journal of Monetary Economics, International Economic Review, American Economic Journal Macroeconomics and Review of Economic Dynamics.

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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