معرفی
Denis Kojevnikov is an Assistant Professor of Econometrics at Tilburg University specializing in theoretical econometrics with focus on network dependence, cluster inference, and large Bayesian games. His research develops novel methods for analyzing cross-sectional dependence structures in complex data environments, including network-linked observations and clustered data with large group sizes.
Recent publications establish impossibility results for cluster-robust inference, derive central limit theorems for network-dependent processes, and propose estimation techniques for Bayesian games with heterogeneous beliefs. Methodologically, his work bridges probability theory, statistical inference, and economic applications.
Kojevnikov teaches graduate courses in econometric theory, panel data analysis, and nonparametric methods. His research contributes to foundational understanding of dependence structures in econometrics with applications to industrial organization and social network analysis.
