Contact information:

Phone:+49 (0)202 439 3783
Fax: +49 (0)202 439 3649
E-Mail: makles[at]wiwi.uni-wuppertal.de
Office: building M, floor 14, room 23



Office hours for students: Meeting in person is only possible if the AHA and 3G rules are followed. Otherwise, the office hour will take place via telephone or viedo call.

General requests:

Only by appointment via E-Mail.

Lecture issues (Public Finance/Public Econ/Seminars):

Tuesdays, approx. 12-13 h, after the class.

Between terms:

Only by appointment via E-Mail.


Curriculum Vitae:

The CV of Dr. Makles (as of Jan. 2022) is available via this .pdf.

Information on all research projects and publications of the entire WIB staff are available via Research.

Short CV:

1999 to 2001 Vocational Education, Office Clerk, Ratingen, Germany.

2001 to 2002 Employee in Finance and Accounting, Ratingen and Duesseldorf, Germany.

2002 to 2007 Studied Economics at the University of Wuppertal, Germany, Degree: Diplom-Oekonomin.

2003 to 2007 Student Assistant at the Chair of Business Statistics (Prof. Dr. Gerhard Arminger), Faculty of Economics, University of Wuppertal, Germany.

2007 to 2013 Scientific Assistant at the Chair of Business Statistics (Prof. Dr. Gerhard Arminger), Schumpeter School of Business and Economics, University of Wuppertal, Germany.

2007 to 2008 Scientific Assistant at the Zentrum fuer Bildungsforschung und Lehrerbildung (Prof. Dr. Horst Weishaupt), University of Wuppertal, Germany.

Since 11/2010 Scientific Assistant at the Chair of Public Finance and Business Taxation (Prof. Dr. Kerstin Schneider), Schumpeter School of Business and Economics, University of Wuppertal, Germany.

10/2013 Doctoral Degree in Economics (Dr. rer. oec.)

Since 11/2013 Senior Researcher at WIB, University of Wuppertal, Germany.

Since 04/2016 Deputy Managing Director of WIB, University of Wuppertal, Germany.

Research fields:

Weighted School/Student Funding, Equality of Opportunity, Equity and Efficiency, Returns to Early Childhood Education, School Chioce and Segregation, Individual-level Data, Big Data, Social Area Analysis, School Location Planning

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