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Antitrust analysis with upward pricing pressure and cost efficiencies

机译:具有向上定价压力和成本效率的反托拉斯分析

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We investigate the accuracy of UPP as a tool in antitrust analysis when there are cost efficiencies from a horizontal merger. We include merger-specific cost efficiencies in a tractable manner in the model and extend the standard UPP formulation to account for these efficiencies. The efficacy of the new UPP formulations is analyzed using Monte Carlo simulation of 40,000 mergers (8 scenarios, 5,000 mergers in each scenario). We find that the new UPP formulations yield substantial gains in prediction of post-merger prices, and there are substantial gains in merger screening accuracy as well. Moreover, the new UPP formulations outperform the standard UPP formulation at higher thresholds for all the standard cases in the paper. The results are robust to several additional analyses. The results show that including cost efficiencies in a manner guided by the theoretical model may yield substantial improvements in accuracy of UPP as a tool in antitrust analysis.
机译:当水平合并有成本效率时,我们调查UPP作为反托拉斯分析工具的准确性。 我们在模型中以贸易方式包括特定于特定的成本效率,并扩展标准UPP制定以考虑这些效率。 使用40,000个合并的Monte Carlo模拟分析了新的UPP配方的疗效(每场景中的8个场景,5,000个合并)。 我们发现新的UPP配方在预测合并后价格的预测中产生了大量的收益,并且合并筛选精度也有很大的收益。 此外,新的UPP配方在纸张中所有标准案例的阈值下越高,标准UPP配方优于标准UPP制剂。 结果对几个额外的分析具有稳健性。 结果表明,包括以理论模型为指导的方式的成本效率可以在逆型分析中的工具中提高UPP的准确性。

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