Humboldt-Universität zu Berlin - High Dimensional Nonstationary Time Series

IRTG1792DP2018 011

How to Measure a Performance of a Collaborative Research Centre

Alona Zharova
Janine Tellinger-Rice
Wolfgang Karl Härdle

New Public Management helps universities and research institutions to perform in a highly competitive
research environment. Evaluating publicly financed research results improves transparency, helps in reflection
and self-assessment, and provides information for strategic decision making. In this paper we provide
empirical evidence using data from a Collaborative Research Centre (CRC) on financial inputs and research
output from 2005 to 2016. After selecting performance indicators suitable for a CRC, we describe main
properties of the data using visualization techniques. To study the relationship between the dimensions of
research performance, we use a time fixed effects panel data model and fixed effects Poisson model. With
the help of year dummy variables, we show how the pattern of research productivity changed over time after
controlling for staff and travel costs. The joint depiction of the time fixed effects and the research project’s
life cycle allows a better understanding of the development of the number of discussion papers over time.

Research Performance, Time Fixed Effects Panel Data Model, Fixed Effects Poisson Model, Network, Collaborative Research Centre

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