Michael Rose, Ph.D.

Senior Research Fellow

Innovation and Entrepreneurship Research

+49 89 24246-566

Persönliche Webseite:



Ökonomie der Wissenschaft, Innovation, akademischer Arbeitsmarkt, Analyse sozialer Netzwerke, Machine Learning

Wissenschaftlicher Werdegang

Seit 06/2018
Post-Doctoral Researcher am Max-Planck-Institut für Innovation und Wettbewerb (Innovation and Entrepreneurship Research)

03/2018 - 05/2018
Gastforschungsaufenthalt an der Deutschen Bundesbank, Forschungszentrum

08/2017 - 02/2018
Gastforschungsaufenthalt an Georgia Institute of Technology, Scheller College of Business

04/2015 - 08/2018
Promotion (Ph.D.) an der Universität Kapstadt. Dissertation: "Collaboration Networks in Economic Science"

10/2014 - 05/2015
Advanced Studies Program in International Economic Policy Research am Institut für Weltwirtschaft Kiel

10/2012 - 09/2014
Studium der quantitativen Ökonomie (M.Sc.) an der Christan-Albrechts-Universität zu Kiel; Erasmus-Austauschsemester an der Universität Stockholm

10/2009 - 09/2012
Studium der Wirtschaftswissenschaften (B.Sc.) an der Friedrich-Schiller-Universität Jena; Austauschsemester an der Universität Stellenbosch


2017 - 2018
University of Cape Town Murray-Jelks Scholarship for International Travel

2015 - 2018
AIFMRM PhD Dissertation Scholarship


Southern African Finance Association Meeting (Kapstadt)
“Economics of Scientific Research“, Erasmus University (Rotterdam)
17th Annual REER Conference, Georgia Institute of Technology, Scheller College of Business (Atlanta, GA)

“International Symposium on Science of Science”, Library of Congress (Washington, DC)
2016 Africa Meeting of the Econometric Society (Kruger Park, Südafrika)

IfW/ZBW Conference “The Future of Scholary Communication” (Hamburg)
Biennial Conference of the Economic Society of South Africa (Kapstadt)
3rdERSA Economic Theory Workshop (Kapstadt)
“Networks, Complexity and Economic Development”, Ungarische Akademie der Wissenschaften (Budapest)



Georg, Co-Pierre; Rose, Michael (2018). What 5,000 Acknowledgements Tell Us About Informal Collaboration in Financial Economics, Max Planck Institute for Innovation & Competition Discussion Paper, No. 11. DOI

  • We present and discuss a novel dataset on informal collaboration in Financial Economics. The data is derived from acknowledgement sections of papers. We focus on the network of informal collaboration, connecting authors and commenters. The network contains useful information when studying various outcomes (academic productivity, citation count), even above co-author networks. Among other things, we find that authors connecting otherwise distinct research communities publish less in top journals, but receive above journal-average citations, and that Female researchers are less often acknowledged than comparable male counterparts. Finally, we list the most central researchers in Financial Economics and study determinants of centrality.

Rose, Michael; Shekhar, Suraj (2018). Informal Contacts in Hiring: The Economics Job Market, Max Planck Institute for Innovation & Competition Research Paper, No. 18-12.

  • We demonstrate the importance of 'social connections' in the labor market by studying the placement outcomes of doctoral students in Economics. We show that a PhD adviser's connectedness in the co-author network matters for her student's academic placement. An adviser's connectedness is measured by her Eigenvector centrality rank in the co-author network defined by more than 100,000 coauthored research articles. Students of more connected advisers obtain a better initial placement compared to students of less connected advisers. We identify the impact of adviser connectedness via changes in the centrality of the adviser’s co-authors in a model with adviser-fixed effects. Additionally, we use the deaths of faculty members as an exogenous shock to show that the probability of a student being placed at a particular department reduces when the collaboration intensity between the student's school and that department decreases due to the death. Our results contain a more general insight for any labor market - even in direct connections can significantly affect job market outcomes.
  • Available at SSRN

Georg, Co-Pierre; Rose, Michael; Opolot, Daniel (2017). Informal Intellectual Collaboration with Central Colleagues, Kiel Working Paper, 2084.

  • When preparing a research article, academics engage in informal intellectual collaboration by asking their colleagues for feedback. This collaboration gives rise to a social network between academics. We study whether informal intellectual collaboration with an academic who is more central in this social network results in a research article having higher scientific impact. To address the well-known reflection problem in estimating network effects, we use the assignment of discussants at NBER summer institutes as a quasi-natural experiment. We show that manuscripts discussed by a discussant with a 10% higher than average Bonacich centrality rank results in 1.4% more citations and a 5% higher probability that an article is published in a top journal. To illustrate our results, we develop a structural model in which a positive externality from intellectual collaboration implies that collaborating with a more central colleague results in larger scientific impact of the research article.
  • https://www.ifw-members.ifw-kiel.de/publications/informal-intellectual-collaboration-with-central-colleagues



Machine Learning for Python

Georgia Institute of Technology, Scheller College of Business
Ort: Altanta (Georgia), USA


Data acquisition for Python

Georgia Institute of Technology, Scheller College of Business
Ort: Altanta (Georgia), USA

04/2017 - 06-2017

Risk Management Computing Skills

Masterkurs, Universität Kapstadt
Ort: Kapstadt, Südafrika


Computational Mathematics

Teaching Assistant, Mastervorkurse, Universität Kapstadt
Ort: Kapstadt, Südafrika

02/2016 - 12/2016

Quantiative Methods in Economics und Financial Econometrics

Teaching Assistant, Masterkurse, Universität Kapstadt
Ort: Kapstadt, Südafrika