Panel data regression

Panel data regressions typically lead to more robust results than simpler approaches, since the estimates can control for more exogenous factors. However, they are typically applied in a high information availability scenario because of the high data requirements of the model. The data requirements for this model are information on the infringement market and the comparable non-cartelized markets over time.

When carrying out panel data regressions, accurate assessments of the markets must be made by the analyst to make the appropriate assumptions and correct model specification. EE&MC’s specialised practitioners have the econometric expertise that is necessary to carry out these regression techniques.