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4 Ergebnisse, ab 1
Diskussionspapiere 1800 / 2019

EU Merger Policy Predictability Using Random Forests

I study the predictability of the EC’s merger decision procedure before and after the 2004 merger policy reform based on a dataset covering all affected markets of mergers with an official decision documented by DG Comp between 1990 and 2014. Using the highly flexible, non-parametric random forest algorithm to predict DG Comp’s assessment of competitive concerns in markets affected by a merger, I find ...

2019| Pauline Affeldt
Diskussionspapiere 1797 / 2019

25 Years of European Merger Control

We study the evolution of the EC’s merger decision procedure over the first 25 years of European competition policy. Using a novel dataset constructed at the level of the relevant markets and containing all merger cases over the 1990-2014 period, we evaluate how consistently arguments related to structural market parameters were applied over time. Using non-parametric machine learning techniques, we ...

2019| Pauline Affeldt, Tomaso Duso, Florian Szücs
Data Documentation 95 / 2018

EU Merger Control Database: 1990-2014

2018| Pauline Affeldt, Tomaso Duso, Florian Szücs
Monographien

Three Essays on the Economics of Merger Control

Berlin: TU Berlin, 2019, XIII, 207 S. | Pauline Affeldt
4 Ergebnisse, ab 1