Common Ownership and Airlines: Evaluating an Alternate Ownership Data Source

Eric Lewis and Randy Chugh
Additional contact information
Eric Lewis: U.S. Department of Justice
Randy Chugh: U.S. Department of Justice

No 201901, EAG Discussions Papers from Department of Justice, Antitrust Division

Abstract: Starting with the pioneering work of Azar, Schmalz, and Tecu (2018), a rapidly growing body of empirical evidence on the effect of common ownership on market outcomes has emerged. However, testing the robustness of these results to alternative methods and data sources is just beginning. In this paper, we contribute to this growing body of work by comparing results based on two different data sources on institutional ownership: Thomson Reuters Spectrum (“SP”) and Thomson Reuters Ownership (“OP”). While SP is used by most researchers in this field, we find that OP has several distinct advantages including broader coverage and more convenient data formatting. We replicate the results of Azar, Schmalz, and Tecu (2018) and show that empirical results change dramatically when using OP instead of SP. We also find evidence that MHHI delta measures using OP data are more volatile than those using the SP data.

JEL-codes: D43 G23 G32 G34 L13 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2019-04
New Economics Papers: this item is included in nep-cfn and nep-com
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.justice.gov/atr/abstract-common-owners ... wnership-data-source (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:doj:eagpap:201901

Access Statistics for this paper

More papers in EAG Discussions Papers from Department of Justice, Antitrust Division Department of Justice Antitrust Division 450 Fifth Street NW Washington, DC 20530. Contact information at EDIRC.
Bibliographic data for series maintained by Tung Vu ().