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Evgenia Motchenkova: MPhil and PhD in Economics

Student stories 10 December 2005, 01:09

Evgenia Motchenkova has recently got a PhD degree at Tilburg universtity. At this moment she has a position of Assistant Professor at the Department of Economics of Free University Amsterdam.

Evgenia Motchenkova has recently got a PhD degree at Tilburg university. At this moment she has a position of Assistant Professor at the Department of Economics of Free University Amsterdam.

She tells here about her study programme:

In general, both master and PhD programs in Economics at Tilburg University are open for applicants from all countries. They consist of 2 years master program (MPhil) followed by 3 years PhD research.

Usually, students start master program in Economics at Tilburg University with intention to continue scientific research afterwards. Admission requirements to PhD program itself are quite tough. Applicants either have to have strong mathematical background in addition to economics or they need to have master degree in English from another European country.

Direct acceptance with master degree in Economics from Russia into PhD program at Tilburg University would be quite problematic.

Here is the information in English (short summary) of my dissertation entitled “Optimal Enforcement of Competition Law”:

Despite the recent theoretical developments in the field of antitrust law enforcement, much still needs to be done in practice by competition authorities in order to prevent collusion and price-fixing in the major industries.

Although penalties were recently increased considerably and new instruments of cartel deterrence, such as leniency programs, were introduced, still complete deterrence of antitrust law violations has not been achieved.

This dissertation contributes to the solution of the problem of optimal competition law enforcement. We approach this problem from the angle of possible refinements of current penalty schemes for violations of competition law.

In particular, we determine the optimal combination of instruments such as the amount of the fine and the rate of law enforcement, and the optimal structure and design of leniency programs.

In the thesis, the main features of current penalty systems are modeled employing the tools of game theory, dynamic games, and dynamic optimization.

We stress the importance of the dynamic analysis of competition law enforcement, since it captures better both the current antitrust rules and the crime process in general.

Application of the above-mentioned tools allows to compare current US and EU penalty schemes for violations of antitrust law and to develop policy implications on how existing penalty schemes can be modified in order to increase their deterrence power.

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