Boosting Empirics with Theory Summer School


Summer School

Aims

This course helps participants improve the quality and publication potential of empirical research by better linking it to theory. Based on concrete examples and practical guidance, participants will acquire the following skills:

  • Connect empirical findings to prior theory,
  • Introduce a (small) theoretical framework to clarify the empirical mechanism and to sharpen identification,
  • Derive new insights from estimated regression coefficients,
  • Generate policy implications from empirical work.

Information

Methodology courses typically focus on either theory or on the empirical estimation. This course aims to bridge the gap between the two by exploring several ways in which empirical studies can benefit from using theory. While it is common for theory papers to derive empirical predictions, this course will emphasize an interplay between theory and empirics starting from existing empirical work.

We will show that using theory can often be a low-hurdle approach to improving empirical exercises. Without requiring the collection of new data, theory can help overcome identification challenges, sharpen empirical specifications, derive policy implications, or supplement regressions with additional quantitative exercises. Using theory can take, for instance, the form of explicitly linking the empirics to prior theoretical work, or adding a theoretical framework (even just a single equation) to the paper.

We will discuss these possibilities in the context of actual research papers. In doing so, we will also pay attention to their evolution. Several of these papers began as purely empirical studies but later added theory to overcome specific challenges and enrich the analysis.

Assessment

Assessment will be on a pass/fail level. It will cover class participation as well as an (optional) assignment.

Materials

The reading list will be made available on Canvas.

Additional info

Schedule

  • July 8 & 9: 13:00-15:45
  • July 11: 9:00-11:45 and 13:00-15:45

This course is held fully online.

Registration

ERIM PhD candidates (full-time and part-time): register directly via Osiris. Participation free of charge.

Non-ERIM PhD candidates: register via online form. The course fee 500 euro.

RSM/ESE faculty members with ERIM membership and PhD candidates at SIKS: register via online form. Participation free of charge.

Please note that the number of places for this course is limited. In case the number of registrations exceeds the number of available seats, priority is given to ERIM PhD candidates.

Please contact us at summerschool@erim.eur.nl if you have questions.