Natur und mathematisches Erkennen

Ohne Zusammenfassung     

Selected Economic Analysis at the Antitrust Division: The Year in Review

Of the many activitiesof the Antitrust Division of theU.S. Department of Justice, we havesummarized some that raise interestingeconomic issues. We describe recentimprovements in the methodology to beused in ``coordinated effects' analysisof mergers. We also discuss four casesbrought by the DOJ that raise issues ofmarket definition, the influence ofcommon partial ownership of competitors,and the effects of fringe suppliers inconstraining collusion by large firms.     

The Year in Review: Economics at the Antitrust Division, 2005–2006

This paper covers the activities of the Economic Analysis Group (EAG) of the Antitrust Division, U.S. Department of Justice, during 2005–2006. It describes the economic analysis undertaken by EAG in several important investigations, appellate matters, and other activities as an advocate for competition.The views contained herein are solely those of the authors and do not necessarily represent those of the U.S. Department of Justice.     

The Year in Review: Economics at the Antitrust Division, 2004–2005

This paper covers the activities of the Economic Analysis Group (EAG), during 2004–2005. It describes the economic analysis undertaken by EAG in several important investigations, appellate matters, and other activities as an advocate for competition.     

The Year in Review: Economics at the Antitrust Division, 2007–2008

This paper covers the activities of the Economic Analysis Group (EAG) of the Antitrust Division, U.S. Department of Justice, during 2007–2008. It describes the economic analysis undertaken by EAG in several important investigations, and in other activities as an advocate for competition. The views in this paper are those of the authors and do not necessarily reflect those of the Antitrust Division.     

AN ANALYSIS OF PEASANT FARM PRODUCTION UNDER CONDITIONS OF UNCERTAINTY*

In this paper the impact of cotton on a traditional food crop system in a semi-arid area of Kenya is analysed using a linear programming model and sensitivity analysis. Alternative criteria, maximax, maximin, and a standard average return maximand, are used in turn. The solutions are all evaluated as ‘best year’, ‘worst year’, and average values. This gives a range of results that cakes account of the uncertainty in the farming situation. Several policy conclusions follow from the analysis. It is argued that the approach used is more realistic than an approach in which a single maximand is used, and that the simplicity of the approach brings it within reach of many involved in farm production analysis.