Martin Sterchi is a research associate at the Institute of Competitiveness and Communication at FHNW. He studied Economics at the Universities of Fribourg and Zürich and is currently a PhD candidate at the University of Zürich. His focus lies in econometrics, data science, and machine learning. In addition to his own research, he is primarily working on consulting projects.

Consulting

• Pricing of services in the health sector
• Data analysis in the health sector
• Economic analysis in the agricultural sector

• Stöckli, S., Messner, C., Sterchi, M., & Dorn, M. (2019). Unreliable is Better: Theoretical and Practical Impulses for Performance Management. Die Unternehmung - Swiss Journal of Business Research and Practice, 2019, 167-180.
• Sterchi, M., Faverjon, C., Sarasua, C., Vargas, M. E., Berezowski, J., Bernstein, A., Grütter, R., & Nathues, H. (2019). The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings. PLoS ONE, 2019, 1-20.
• Hulliger, B., & Sterchi, M. (2018). A survey-based design of a pricing system for psychotherapy. Health Economics Review, 2018, 1-11.
• Faverjon, C., Bernstein, A., Gru?tter, R., Nathues, H., Sarasua, C., Sterchi, M., Vargas, M.E., & Berezowski, J, (2018). PIG DATA: transdisciplinary approach for health analytics of the Swiss Swine Industry. Olten, Switzerland.
• Sterchi, M., & Wolf, M. (2017). Weighted least squares and adaptive least squares: Further empirical evidence. In V. Kerinovich, S. Sriboonchitta, & V. Huynh (Eds.), Robustness in Econometrics (pp. 135-167). Basel: Springer International Publishing.