Python for analyzing merger enforcement policy
Project description
Visualize the sets of mergers falling within specified concentration and diversion-ratio thresholds. Analyze merger investigations data published by the U.S. Federal Trade Commission in various reports on extended merger investigations (Second Requests) during 1996 to 2011. Generate data under specified distributions of firm counts, market shares, price-cost margins, and prices, optionally imposing equilibrium conditions for Bertrand oligopoly with MNL demand and restrictions implied by statutory filing thresholds. Compute intrinsic enforcement rates or intrinsic clearance rates using generated data, with bounds for concentration; diversion ratio; gross upward pricing pressure (GUPPI); critical marginal cost reduction (CMCR); and illustrative price rise (IPR).
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An introductory usage guide and full API reference are available online.
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