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We use the concept of coarsened posteriors to provide robust Bayesian inference via coarsening in order to robustify posteriors arising from stochastic frontier models. These posteriors arise from tempered versions of the likelihood when at most a pre-specified amount of data is used, and are...
Persistent link: https://www.econbiz.de/10012171282
In a recent paper, Karadima and Louri use frontier-based measures of market power and bank competition in an application to Euro Area banking. The purpose of the present note is to access their paper in a critical way, as there are certain fallacies and errors.
Persistent link: https://www.econbiz.de/10012304947
In this reply, we provide detailed answers to the remarks made by Tsionas on the use of stochastic frontier-based measures of market power in a part of our empirical study, which examines the fragmentation and convergence dynamics of market power, concentration and credit risk in the euro area...
Persistent link: https://www.econbiz.de/10012309070
Parallel imports have been treated very differently in different countries. In the EU, competition law's very strong (per se) prohibition of restrictions to parallel imports (PI) can be justified by traditional "public interest" concerns related to the EU's objective to promote free trade and...
Persistent link: https://www.econbiz.de/10012318071
Telecom companies are a frequent target of antitrust investigations in Russia. In an industry where services tend to become more and more complex and companies actively invest in diversifying their businesses, the antitrust authority in most of its telecom cases has chosen to define markets...
Persistent link: https://www.econbiz.de/10012265642
In advanced economies, rising inequality has become a significant economic issue. Our paper examines one dimension of the impact of inequality. This study employs panel estimators that tackle heterogeneity and cross-sectional dependence to estimate the impact of income inequality on import...
Persistent link: https://www.econbiz.de/10012311842