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Merger Simulation with Brand-Level Margin Data: Extending PCAIDS with Nests

Author

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  • Epstein Roy J.

    (Boston College)

  • Rubinfeld Daniel L.

    (University of California, Berkeley)

Abstract

We present a method to calibrate empirically the demand parameters in a merger simulation model by using brand-level profit margin data. While the approach can be generalized, we develop these ideas within a particular framework - the PCAIDS (proportionality-calibrated AIDS) model. We show that the brand-level margins effectively define product "nests" (products that are especially close substitutes) and substantially increase the flexibility of PCAIDS for modeling critical own- and cross-price elasticities. The model is particularly valuable for transactions at the wholesale level (where scanner data do not exist) and for geographic markets that span national borders (where comparable data may not be available), since other methods to derive elasticities, particularly those based on econometric estimation, may not be possible or may not be reliable.

Suggested Citation

  • Epstein Roy J. & Rubinfeld Daniel L., 2004. "Merger Simulation with Brand-Level Margin Data: Extending PCAIDS with Nests," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-28, March.
    • Handle: RePEc:bpj:bejeap:v:advances.4:y:2004:i:1:n:2
    DOI: 10.2202/1538-0637.1212
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    Citations

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    Cited by:

    1. van Damme, E.E.C. & Pinkse, J., 2005. "Merger Simulation Analysis : An Academic Perspective," Other publications TiSEM 1787127b-d84e-4ab6-b040-a, Tilburg University, School of Economics and Management.
    2. Kaplow, Louis & Shapiro, Carl, 2007. "Antitrust," Handbook of Law and Economics, in: A. Mitchell Polinsky & Steven Shavell (ed.), Handbook of Law and Economics, edition 1, volume 2, chapter 15, pages 1073-1225, Elsevier.
    3. Gregory Swinand & Hugh Hennessy, 2014. "Estimating postal demand elasticities using the PCAIDS method," Chapters, in: Michael A. Crew & Timothy J. J. Brennan (ed.), The Role of the Postal and Delivery Sector in a Digital Age, chapter 5, pages 65-74, Edward Elgar Publishing.
    4. Oliver Budzinski & Isabel Ruhmer, 2010. "Merger Simulation In Competition Policy: A Survey," Journal of Competition Law and Economics, Oxford University Press, vol. 6(2), pages 277-319.
    5. Germán Coloma, 2006. "Econometric estimation of PCAIDS models," Empirical Economics, Springer, vol. 31(3), pages 587-599, September.
    6. Nguyen, Ly & Wilson, Norbert L.W., 2017. "Healthy Foods: Tax or Voucher?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258491, Agricultural and Applied Economics Association.
    7. Jerome Foncel & Marc Ivaldi & Jrisy Motis, 2008. "An Econometric Workbench for Comparing the Substantive and Dominance Tests in Horizontal Merger Analysis," Working Papers 0833, University of Crete, Department of Economics.
    8. Lundmark, Robert & Wårell, Linda, 2008. "Horizontal mergers in the iron ore industry--An application of PCAIDS," Resources Policy, Elsevier, vol. 33(3), pages 129-141, September.
    9. Epstein Roy J. & Rubinfeld Daniel L, 2010. "Understanding UPP," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 10(1), pages 1-12, May.
    10. van Damme, E.E.C. & Pinkse, J., 2005. "Merger Simulation Analysis : An Academic Perspective," Discussion Paper 2005-013, Tilburg University, Tilburg Law and Economic Center.
    11. Gordon, Daniel V., 2018. "Country of origin growth modelling for imported salted & dried (Klippfisk) products to Brazil," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 31-43.

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