• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni
Home | News | New Research Fellow: Andreas Bayerl
News | January 22, 2026

New Research Fellow: Andreas Bayerl

Andreas Bayerl is Assistant Professor of Marketing at the Erasmus School of Economics at Erasmus University Rotterdam.

New Research Fellow: Andreas Bayerl

He earned a PhD in Quantitative Marketing from University of Mannheim, Germany.

His research focuses on how people behave and send information in today’s digital world and how information from the digital world influences people. In particular, Andreas studies online reviews and influencer marketing. Usually, his projects follow a mixed-method approach combining observational data, analyses of text and images as well as field and lab studies.

His research has been published in the Journal of Marketing, Journal of Marketing Research, Harvard Business Review, MIT Sloan Management Review and Nature Human Behavior.