Michael E. Rose, Ph.D.

Senior Research Fellow

Innovation and Entrepreneurship Research

+49 89 24246-566
michael.rose(at)ip.mpg.de

Persönliche Webseite:

http://michael-e-ro.se

Arbeitsbereiche:

Wissenschaftsökonomik, Innovation, Arbeitsökonomik, 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

Stipendien

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

2015 - 2018
AIFMRM PhD Dissertation Scholarship

Konferenzbesuche

2019
2019 Spring Meeting of Young Economists, ULB (Brüssel)
BRICK 2019: The Organisation, Economics and Policy of Scientific Research, Bordeaux University (Bordeaux)

2018
“Innovation, Economic Complexity and Economic Geography Workshop”, MIT Media Lab & INET-MSI (Cambridge, MA)
“7th Annual Workshop on Networks in Economics and Finance”, IMT School for Advanced Studies (Lucca)

2017
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)

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

2015
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)

Publikationen

Artikel in referierten Fachzeitschriften

Rose, Michael; Kitchin, John R. (2019). pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus, SoftwareX, 10. DOI

  • We present a wrapper for the Scopus RESTful API written for Python 3. The wrapper allows users to access the Scopus database via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The package provides classes to interact with different Scopus APIs to retrieve information as diverse as citation counts, author information or document abstracts. Files are cached to speed up subsequent analysis. The package addresses all users of Scopus data, such as researchers working in Science of Science or evaluators. It facilitates reproducibility of research projects and enhances data integrity for researchers using Scopus data.
  • Also published as: Max Planck Institute for Innovation & Competition Research Paper No. 19-03

Diskussionspapiere

Rose, Michael; Kitchin, John R. (2019). pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus, Max Planck Institute for Innovation & Competition Research Paper, No. 19-03.

  • We present a wrapper for the Scopus RESTful API written for Python 3. The wrapper allows users to access the Scopus database via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The package provides classes to interact with different Scopus APIs to retrieve information as diverse as citation counts, author information or document abstracts. Files are cached to speed up subsequent analysis. The package addresses all users of Scopus data, such as researchers working in Science of Science or evaluators. It facilitates re- producibility of research projects and enhances data integrity for researchers using Scopus data.
  • Available at SSRN
  • Also published in SoftwareX, 10, 100263

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

  • Formal collaboration between researchers via co-authorship has been shown to have a positive impact on academic productivity. But most academic collaboration is informal, e.g. in the form of commentary on research papers. We present and discuss a novel dataset on informal collaboration in Financial Economics obtained from the acknowledgement sections of over 5,000 published research papers. We construct the social network of informal collaboration connecting authors and commenters and show that a researcher’s position in this network is predictive of her future productivity and the scholarly impact of the papers she comments on. We study the characteristics of the network using various measures from network theory and characterize what determines a researcher’s position in it.

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

Lehrveranstaltungen

03/2018

Big Data and Machine Learning for Python
ifo-Institut
Ort: München


04/2018

Big Data and Machine Learning for Python
Doktorandenkurs, Ludwig-Maximilians-Universität München
Ort: München


01/2018

Machine Learning for Python
Doktorandenkurs, Georgia Institute of Technology (Scheller College of Business)
Ort: Atlanta (Georgia), USA


09/2017

Data Acquisitions for Python
Doktorandenkurs, Georgia Institute of Technology (Scheller College of Business)
Ort: Atlanta (Georgia), USA


04/2017 - 06/2017

Risk Management Computing Skills
Masterkurs, Universität Kapstadt
Ort: Kapstadt, Südafrika


03/2017

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


02/2016 - 12/2016

Quantitative Methods in Economics and Financial Econometrics
Teaching Assistant, Masterkurse, Universität Kapstadt
Ort: Kapstadt, Südafrika

Projekte