Valuing Consumer Products by the Time Spent Using Them: An Application to the Internet
For some goods, the main cost of buying the product is not the price but rather the time it takes to use them. Only about 0.2% of consumer spending in the U.S., for example, went for Internet access in 2004 yet time use data indicates that people spend around 10% of their entire leisure time going online. For such goods, estimating price elasticities with expenditure data can be difficult, and, therefore, estimated welfare gains highly uncertain. We show that for time-intensive goods like the Internet, a simple model in which both expenditure and time contribute to consumption can be used to estimate the consumer gains from a good using just the data on time use and the opportunity cost of people's time (i.e., the wage). The theory predicts that higher wage internet subscribers should spend less time online (for non-work reasons) and the degree to which that is true identifies the elasticity of demand. Based on expenditure and time use data and our elasticity estimate, we calculate that consumer surplus from the Internet may be around 2% of full-income, or several thousand dollars per user. This is an order of magnitude larger than what one obtains from a back-of-the-envelope calculation using data from expenditures.
|Date of creation:||Jan 2006|
|Contact details of provider:|| Postal: 366 Galvez Street, Stanford, California 94305-6015|
Phone: (650) 725-1874
Fax: (650) 723-8611
Web page: http://siepr.stanford.edu
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Downes, Tom & Greenstein, Shane, 2002. "Universal access and local internet markets in the US," Research Policy, Elsevier, vol. 31(7), pages 1035-1052, September.
- Mark Aguiar & Erik Hurst, 2005. "Consumption versus Expenditure," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 919-948, October.
- Aviv Nevo, 2001.
"New Products, Quality Changes and Welfare Measures Computed From Estimated Demand Systems,"
NBER Working Papers
8425, National Bureau of Economic Research, Inc.
- Aviv Nevo, 2003. "New Products, Quality Changes, and Welfare Measures Computed from Estimated Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 266-275, May.
- Goolsbee, Austan & Klenow, Peter J, 2002.
"Evidence on Learning and Network Externalities in the Diffusion of Home Computers,"
Journal of Law and Economics,
University of Chicago Press, vol. 45(2), pages 317-343, October.
- Austan Goolsbee & Peter J. Klenow, 1999. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," NBER Working Papers 7329, National Bureau of Economic Research, Inc.
- Hausman, Jerry, 1999.
"Cellular Telephone, New Products, and the CPI,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 17(2), pages 188-194, April.
- Timothy F. Bresnahan & Robert J. Gordon, 1996. "The Economics of New Goods," NBER Books, National Bureau of Economic Research, Inc, number bres96-1, Enero.
- Austan Goolsbee & Amil Petrin, 2004. "The Consumer Gains from Direct Broadcast Satellites and the Competition with Cable TV," Econometrica, Econometric Society, vol. 72(2), pages 351-381, 03.
- Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
When requesting a correction, please mention this item's handle: RePEc:sip:dpaper:05-010. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anne Shor)
If references are entirely missing, you can add them using this form.