Measuring Benchmark Damages in Antitrust Litigation: Extensions and Practical Implications
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Ai Deng
Abstract
This paper compares the “forecasting approach” and the “fully interacted approach” to estimation of cartel damages. We investigate the impact of relaxing the assumptions of exogeneity and stationarity, both theoretically and in Monte Carlo simulations. The results suggest that the advantages of the fully interacted approach are less clear and that the forecasting approach may be more robust to the relaxations of some of these maintained assumptions.
Acknowledgment
The author thanks Professor Doug Bernheim for helpful comments on an ealier version of the paper. The views expressed in this paper are those of the author and do not necessarily reflect the opinions of NERA or its clients, Johns Hopkins University or its affiliates. All errors are mine.
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Supplementary Material
The online version of this article offers supplementary material (DOI: https://doi.org/10.1515/jem-2019-0010).
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Articles in the same Issue
- Research Articles
- Monte Carlo Evidence on the Estimation Method for Industry Dynamics
- An Empirical Undergraduate Introduction to Estimating Consumer Preferences Using Ride Choices at Disneyland
- Regression-Based Causal Analysis from the Potential Outcomes Perspective
- Level-Based Estimation of Dynamic Panel Models
- How Accurately Do Structural Asymmetric First-Price Auction Estimates Represent True Valuations?
- Adjustments of Rao’s Score Test for Distributional and Local Parametric Misspecifications
- Measuring Benchmark Damages in Antitrust Litigation: Extensions and Practical Implications
- Instrumental Variables Estimation in Large Heterogeneous Panels with Multifactor Structure
