Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/56566 
Autor:innen: 
Erscheinungsjahr: 
2010
Schriftenreihe/Nr.: 
MAGKS Joint Discussion Paper Series in Economics No. 33-2010
Verlag: 
Philipps-University Marburg, Faculty of Business Administration and Economics, Marburg
Zusammenfassung: 
Regression methods are commonly used in competition lawsuits for, e.g., determining overcharges in pricefixing cases. Technical evaluations of these methods' pros and cons are not necessarily intuitive. Appraisals that are based on case studies are descriptive but need not be universally valid. This paper opens up the black box called econometrics for competition cases. This is done by complementing theoretical arguments with estimation results. These results are obtained for data that is generated by a simulation-model of a collusive industry. Using such data leaves little room for debate about the quality of these methods because estimates of, e.g., overcharges can be compared to their true underlying values. This analysis provides arguments for demonstrating that thoroughly conducted econometric analyses yield better results than simple techniques such as before-and-after comparisons.
Schlagwörter: 
collusion
empirical methods
industry simulation
JEL: 
C51
D43
K21
L41
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
910.75 kB





Publikationen in EconStor sind urheberrechtlich geschützt.