The course provides an overview of quantitative research methods, with particular focus on applications in studies of entrepreneurship and innovation. Basic understanding of quantitative methods, including training in statistics and propability theory, are expected prerequisites. Participants are given an opportunity to broaden and deepen their understanding of what tools that are available for common research problems, with emphasis on specification, estimation, interpretation and valuation of various forms of mathematically formulated models. The overall ambition is for course participants to gain useful overview of how data can be analysed using economtric models and machine learning tools, with emphasis on methods that are used in contemporary state-of-the-art research on entrepreneurship and innovation.
The central sections of the course are constituted by presentations and exercises introducing important concepts and techniques. Prioritization of what techniques that are treated at greater depth is to some extent determined by participants’ interests and needs.