Abstract

 


 



On FTC's 'Do Not Track'


Raymond G. Sin


The University of Hong Kong

Jia Jia


Hong Kong University of Science and Technology

January 7, 2012


Abstract:     
The Federal Trade Commission (FTC) has recently proposed a 'Do Not Track' mechanism in response to the fervent call for protecting consumer’s privacy online. We argue that restricting information collection is a misplaced focus in addressing Internet privacy, and develop a mechanism that helps alleviate consumer’s privacy concerns without sacrificing online firms’ business benefits from using customer information. Building on the proposed mechanism, we derive alternative regulatory tools that can be readily available to policy makers, and investigate their respective effectiveness in improving social welfare.

We demonstrate that by leaving consumers partial control on how their information is used, the firm can devise a contract that serves the entire market while effectively catering to the privacy needs of different consumers. Further, results from our policy analysis suggest that imposing a requirement on preserving a portion of customer information purely for generating personalization is a superior strategy to restricting the firm’s ability to collect personal information. Our modeling approach offers an alternative to the reliance on external instruments in traditional contract design, and extends the principal-agent framework to a three-tier interaction in a non-price context. Further, our work is one of the first that respond to the FTC’s initiatives to pursue legislative options in protecting consumer’s online privacy, and offers important guidelines to regulators for governing the information practice of online companies.

Number of Pages in PDF File: 60

Keywords: 'Do Not Track', mechanism design, policy analysis, privacy

JEL Classification: L52, O38, L14

working papers series


Download This Paper

Date posted: April 25, 2012 ; Last revised: May 7, 2012

Suggested Citation

Sin, Raymond G. and Jia, Jia, On FTC's 'Do Not Track' (January 7, 2012). Available at SSRN: http://ssrn.com/abstract=2044539 or http://dx.doi.org/10.2139/ssrn.2044539

Contact Information

Raymond G. Sin (Contact Author)
The University of Hong Kong ( email )
School of Business
HKU
Pok Fu Lam
Hong Kong
Jia Jia
Hong Kong University of Science and Technology ( email )
Clear Water Bay
Kowloon
Hong Kong
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 168
Downloads: 15

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo7 in 0.281 seconds