This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Measuring the Electronic Economy: Current Status and Next Steps

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Barbara K Atrostic
John Gates
Ron Jarmin

Additional information is available for the following registered author(s):

Abstract

The recent growth of consumer retailing over the Internet draws attention to the electronic economy. However, businesses also conduct other business processes over computer networks, and many have been doing so for some time. Uses of computer networks attract attention because of assertions that they lead to new products and services, new delivery methods, streamlined or re-engineered business processes, new business structures, and enhanced business performance. These changes, in turn, potentially affect the performance of the entire economy, including economic growth, productivity, prices, employment, trade, and the structures of businesses, regions, and markets. Evaluating these assertions, and their effects on economic performance, requires solid statistical information about the electronic economy. This paper develops principles for identifying information critical to measuring the size and evaluating the potential effects of the electronic economy, relates that information to current data collection programs, and notes relevant measurement issues. Some of the required information about the electronic economy can be collected by adding questions to existing surveys, making the scope of existing surveys consistent, or developing new surveys. However, many key pieces of information pose significant challenges to economic measurement. While some of those challenges are specific to the electronic economy, others are long-standing ones. Interest in the electronic economy highlights the importance of continuing attempts to address these challenges. Improving and enhancing the statistical system to provide information about the electronic economy, therefore, would also substantially improve the baseline information available for evaluating the performance of the entire economy.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://webserver01.ces.census.gov/index.php/ces/1.00/cespapers/index.php/ces/1.00/cespapers?down_key=101603
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 00-10.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Jun 2000
Date of revision:
Handle: RePEc:cen:wpaper:00-10

Contact details of provider:
Web page: http://www.ces.census.gov

For technical questions regarding this item, or to correct its listing, contact: (Sang V. Nguyen).

Related research
Keywords: CES economic research micro data microdata chief economist

Other versions of this item:

References listed on IDEAS
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.:
  1. Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Proceedings, Federal Reserve Bank of San Francisco. [Downloadable!]
    Other versions:
  2. Brynjolfsson, Erik. & Hitt, Lorin M., 1995. "Paradox lost? : firm-level evidence on the returns to information systems spending," Working papers 3786-95., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
  3. Greenman, N. & Mairesse, J., 1996. "Computers and Productivity in France: Some Evidence," Monash Econometrics and Business Statistics Working Papers 15/96, Monash University, Department of Econometrics and Business Statistics.
    Other versions:
  4. John Haltiwanger & C J Krizan & Lucia Foster, 1998. "Aggregate Productivity Growth: Lessons From Microeconomic Evidence," Working Papers 98-12, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
    Other versions:
  5. Berndt, Ernst R. & Morrison, Catherine J., 1992. "High-tech capital formation and economic performance in U.S. manufacturing industries : an exploratory analysis," Working papers 3419-92., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
    Other versions:
  6. Timothy Dunne & John Haltiwanger & Lucia Foster, 2000. "Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment," NBER Working Papers 7465, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  7. Jack E. Triplett, 1999. "The Solow productivity paradox: what do computers do to productivity?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 309-334, April. [Downloadable!] (restricted)
  8. Erik Brynjolfsson & Shinkyu Yang, 1997. "Information Technology and Productivity: A Review of the Literature," Working Paper Series 202, MIT Center for Coordination Science. [Downloadable!]
  9. Donald Siegel & Zvi Griliches, 1991. "Purchased Services, Outsourcing, Computers, and Productivity in Manufacturing," NBER Working Papers 3678, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, 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.)

  1. B.K. Atrostic & John Gates, 2001. "U.S. Productivity and Electronic Processes in Manufacturing," Working Papers 01-11, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
  2. B.K. Atrostic & Sang V. Nguyen, 2002. "Computer Networks and U.S. Manufacturing Plant Productivity: New Evidence from the CNUS Data," Working Papers 02-01, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
  3. G. Giacomello & L. Picci, 2002. "My Scale or your Meter? Evaluating Methods of Measuring the Internet," Working Papers 447, Dipartimento Scienze Economiche, Università di Bologna. [Downloadable!]
    Other versions:
  4. Chris Forman & Avi Goldfarb & Shane Greenstein, 2002. "Digital Dispersion: An Industrial and Geographic Census of Commerical Internet Use," NBER Working Papers 9287, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? Over five million full texts a year are downloaded through IDEAS.

This page was last updated on 2008-8-19.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.