This research suggests an easy-to-implement forecast combination procedure to deal with the model uncertainty issues when evaluating the cartel damages. We combine the Mallows model averaging (MMA) method with both the dummy variable (DV) and forecasting approaches to investigate the famous...

The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...

The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...

Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the...

Standard methods for calculating cartel-damages rely on data of prices charged and quantity sold. Such data may not easily be available. In this paper, it is shown that a lower bound for cartel-damages can also be computed from accounting data. In previous literature it is shown that economic...

Based on an analysis of cartel prosecutions since 2007, this article assesses the way the European Commission has built up its fines in practice. The fines are compared with those imposed by the European Commission over the period from 1999 to 2006. The main findings are that, while fines have...

Boone (2008a) proposes a new competition measure based on Relative Profit Differences (RPD) with superior theoretical properties. However, the empirical applicability and robust-ness of the Boone-Indicator is still unknown. This paper aims to address that question. Using a rich, newly built,...

This article, published in 2001, considers the appropriate standards for monopolization cases in which the defendant has allegedly reduced innovation by refusing to deal with the plaintiffs. We note that claims of reduced innovation are problematic, particularly in dynamic markets, because...

A model with proportional errors in variables arising naturally in microeconomics is considered. Unlike the classical additive errors case, all OLS parameter estimates exhibit attenuation bias that does not depend on the limiting distribution of the data. The distribution of OLS estimators is...

A regression model is considered where earnings are explained by schooling and ability. It is assumed that schooling is measured with error and that there are no data on ability. Regressing earnings on observed schooling then yields an estimate of the return to schooling that is subject to...