• 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 | People | Alexander Mayer
 placeholder

Alexander Mayer

Research Fellow

University
Erasmus University Rotterdam
Research field
Econometrics
Interests
Bounded Rationality, Econometric Theory, Time Series Econometrics

Biography

Alexander is an assistant professor at Erasmus University Rotterdam. He did his PhD in Germany and stayed some time in Italy before coming to the Netherlands in late 2025. His research is mostly on time series econometrics with applications in macroeconomics and finance.

List of publications

Mayer, A. and Massmann, M. (2026). Least Squares Estimation in Nonstationary Nonlinear Cohort Panels with Learning from Experience Journal of Business and Economic Statistics, 44(1):334--347.

Mayer, A. and Wied, D. (2026). Endogeneity Corrections in Binary Outcome Models With Nonlinear Transformations: Identification and Inference Oxford Bulletin of Economics and Statistics, 88(1):45--56.

Mayer, A., Wied, D. and Troster, V. (2025). Quantile Granger causality in the presence of instability☆ Journal of Econometrics, 249.

Breitung, J., Mayer, A. and Wied, D. (2024). Asymptotic properties of endogeneity corrections using nonlinear transformations Econometrics Journal, 27(3):362--383.

Borsch, M., Mayer, A. and Wied, D. (2024). Consistent Estimation of Multiple Breakpoints in Dependence Measures Journal of Business and Economic Statistics, 42(2):695--706.

Mayer, A. and Wied, D. (2023). Estimation and inference in factor copula models with exogenous covariates Journal of Econometrics, 235(2):1500--1521.

Mayer, A. (2020). (Consistently) testing strict exogeneity against the alternative of predeterminedness in linear time-series models Economics Letters, 193.