Applied Econometrics · Münster

Dr. Jonathan Hoke

Assistant Professor at the University of Münster, Germany

I help researchers get causal inference right. My work centers on making complex econometric methods, such as the Heckman two-stage estimation and control function approach, accessible and practical. This allows empirical studies in management, innovation, and information systems to withstand methodological scrutiny.

Causal inference & endogeneity Heckman estimation Applied statistical modeling Empirical research design Quantitative methodology
Portrait of Dr. Jonathan Hoke

Featured Project

Statistics Lab Münster

Statistics Lab Münster logo

Together with Prof. Dr. David Bendig, I created the Statistics Lab to tackle a problem we kept seeing: researchers misapplying complex econometric techniques like the Heckman two-stage estimation and ITCV analysis. The Lab provides step-by-step guides that help scholars detect and correct endogeneity bias – regardless of their statistical background.

Academic Position

Institute for Entrepreneurship

At the Institute for Entrepreneurship, I bring quantitative rigor to innovation and strategy research. My role sits at the intersection of econometric methodology and entrepreneurship scholarship – helping the institute's research meet the highest standards of causal identification and empirical design.

Institute for Entrepreneurship logo

Connect

I welcome connections for research collaboration, academic exchange, and joint projects. The easiest way to reach me is by email or LinkedIn.

Dr. Jonathan Hoke · University of Münster, Germany · Statistics Lab Münster
Email: jonathanhoke@statisticslab.org
LinkedIn: linkedin.com/in/jonathan-hoke