EconPapers    
Economics at your fingertips  
 

Measuring the usage effects of tying a messenger to Windows: a treatment effect approach

Myoung-jae Lee

Journal of the Royal Statistical Society Series A, 2010, vol. 173, issue 1, 237-253

Abstract: Summary. The US case on tying Microsoft Internet Explorer to Windows has received much attention. In Europe, a similar case of tying the Microsoft media player to Windows appeared. Recently in Korea, another similar case of tying a Microsoft messenger to Windows occurred. In the messenger tying case (as well as in the other tying cases), Microsoft's main defence seems to be threefold: tying enhances efficiency, the Microsoft product is better or better marketed and tying is inconsequential because the user can easily download free competing products. The paper empirically addresses the third point. Korean data, used as evidence in the trial of the case, reveal that tying the Microsoft messenger to Windows increased the probability of choosing the Microsoft messenger as the main messenger by 22% for Windows Millennium and 35% for Windows XP. There is also evidence that tying shortened the duration until the Microsoft messenger is adopted by about 2–4 months, compared with the duration until the adoption of a competing messenger. Hence tying provided Microsoft with an almost instant non‐trivial advantage in the messenger market ‘race’—the advantage derived from the dominant position in the operating system market.

Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/j.1467-985X.2009.00619.x

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:bla:jorssa:v:173:y:2010:i:1:p:237-253

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-05-17
Handle: RePEc:bla:jorssa:v:173:y:2010:i:1:p:237-253