Assigning Default Position for Digital Goods: Competition, Regulation and Welfare
Marius Schwartz and
Yongmin Chen
Working Papers from Georgetown University, Department of Economics
Abstract:
We analyze alternative ways to assign the default position for competing digital goods such as search engines. When two firms vie for the position through bidding, the higher-quality firm typically wins but delivers lower utility than the rival due to heightened monetization (e.g., unwanted ads), exploiting consumers' switching costs. Paradoxically, increasing via regulation the rival's default share tends to raise profit and harm consumers, at least in the short run. Delegating the default choice to consumers benefits them but harms the weaker firm. Our findings highlight the subtle welfare tradeoffs in default assignment, an important and controversial policy issue.
Keywords: Default Position; Digital Goods; Competition; Regulation (search for similar items in EconPapers)
JEL-codes: L1 L4 (search for similar items in EconPapers)
Pages: 46
Date: 2023-09-27
New Economics Papers: this item is included in nep-com, nep-mic, nep-reg and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://mariusschwartz.georgetown.domains/DefaultPosition202309.pdf Full text (application/pdf)
None
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:geo:guwopa:gueconwpa~23-23-05
Ordering information: This working paper can be ordered from
Roger Lagunoff Professor of Economics Georgetown University Department of Economics Washington, DC 20057-1036
http://econ.georgetown.edu/
Access Statistics for this paper
More papers in Working Papers from Georgetown University, Department of Economics Georgetown University Department of Economics Washington, DC 20057-1036.
Bibliographic data for series maintained by Marcia Suss ( this e-mail address is bad, please contact ).