Marc Diederichs

Diederichs@rfberlin.com

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:  Three-month 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)