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I am a Postdoctoral researcher at FAU Erlangen-Nürnberg.
I am also a Research affiliate at IZA and CESifo, a Research associate at LASER, and a holder of an Add-On Fellowship by the Joachim Herz Foundation.
My research is at the intersection of labor economics, digitization, and technological change. Currently, I am working on topics such as the adjustment of jobs, workers and firms to new technologies and digitization; the role of non-wage amenities and working conditions in the labor market; and the interplay between skills, human capital and inequality. In my work, I apply econometric methods, experimental methods, and machine learning.
You can find my publications and work in progress here.
Email: erwin.winkler@fau.de
*** NEWS ***
February 2026: New Paper: Minimum Wages and Work Pressure. CESifo Working Paper No. 12460.
February 2026: Our paper "Preferences for Gender Diversity in High-Profile Jobs" is published by Labour Economics. See here.
November 2025: We are looking for a Ph.D. student for our DFG-funded project on non-wage amenities. See here for more details.
November 2025: The German Research Foundation (DFG) is funding our project "The Economics of Non-Wage Amenities: A Supply-Side Perspective" (with Markus Nagler and Michael Stops).
September 2025: Starting a one-month research visit at the University Pompeu Fabra in Barcelona.
August 2025: Presenting our work on AI at the Tasks VII Conference ("The Economic Impacts of AI on Work and Labor Markets") in Luxembourg in September.
May 2025: I am looking forward to visit the University Pompeu Fabra in September and October and CESifo Munich in November 2025.
April 2025: I am very happy to join the CESifo network as a research affiliate.
March 2025: New IZA Discussion Paper and CESifo Discussion Paper on Preferences for Gender Diversity among Co-Workers.
Feb. 2025: We received the IZA Award for Innovative Research on a Pressing Public Issue (IRPPI) for our paper on the labor market effects of Artificial Intelligence.
Feb. 2025: New IZA Discussion Paper on the estimation of heterogeneous earnings effects of exports, using machine learning.
Jan. 2025: I am very happy to receive the Add-on Fellowship by the Joachim Herz Foundation!
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