Marc Diederichs
Mainz and Frankfurt University
Diederichs@uni-mainz.de
Education
2023: PhD in Economics (summa cum laude), Goethe University Frankfurt
Title: Essays in Network and Health Economics; Advisor: Reyn van Ewijk; Committee members: Joshua Angrist, Reyn van Ewijk, Guido Friebel, Daniel Schunk
2022: 3 months research visit to Joshua Angrist, Massachusetts Institute of Technology
2020: Master in Quantitative Economics, Goethe University Frankfurt
2017: Master in International Economics and Public Policy, Mainz University
2015: Double degree in Management and Economics, Paris Nanterre and Mainz University
Work Experience
04/2023 - Present: Research Officer Rockwool Foundation Berlin, Institute for the Economy and the Future
of Work.
2018 - Present: Doctoral Researcher, Mainz University, Chair of Statistics and Econometrics
2015 - 2017: AIESEC, Mainz University
2016 - 1 Month: Voluntary service in Kenya, Volunteering work in an orphanage
2015 - 3 Months: Internship in Paris
2012 - 3 Months: Internship at Constance University
2012 - 3 Months: Voluntary service in Kenya, Volunteering work in an orphanage
2011 - 2 Months: Internship at Ekkharthof Swiss, Guidance of handicapped children
Scholarships
2023: Best paper award for my PNAS article from the DGGÖ 5000 Euro
2022: Interdisciplinary Public Policy 2000 Euro
2018 - 2020: Scholarship Deutschlandstipendium
2014 - 2015: Scholarship Erasmus +
2014 - 2015: Scholarship from Deutsch Französische Hochschule
Conferences and Workshops
2023: DGGÖ Conference on Health Economics, Hannover; PhD conference, Frankfurt; Young Economists Meeting, Breno; ESPE, Belgrade; NBER Summer Institute and Innovation Summer School, Cambridge; EALE, Prag
2018 - 2022: Annual Conference Verein für Socialpolitik, Basel; EuHEA PhD Conference, Rotterdam; DGGÖ Conference on Health Economics, Nuremberg; International Health Economics Workshop, Mainz; Summer School on Advanced Econometrics by Prof. Wooldridge, Mainz; Annual Conference Verein für Socialpolitik, Freiburg; Course on Econometric Analysis of Experimental Data, Mainz
Languages
German (native), English (fluent), French (advanced)