Sign In

Communications of the ACM


Unbalanced Data Leads to Obsolete Economic Advice

Unbalanced Data Leads to Obsolete Economic Advice, illustration

Credit: Andrij Borys Associates / Shutterstock

The high technology industry is recognized as being a major driver of the current economy. I am concerned about how poorly its role is understood in governmental decision making. Computer scientists do express concerns about disturbing trends.9 An early study sponsored by ACM was based on opinions, rather than data.1 Similar discussions address other high-technology engineering disciplines.2 Analyses of relevant data should be the basis for decision making. Having "big data" raises high expectations.7 But there are two related lacunae:

  • Most analysts ignore the mechanisms that drive high technology and the intellectual origin of contents in the products being marketed.
  • The data needed to measure the business interactions involving intellectual products within and among high technology enterprises is unavailable to economists.

In this Viewpoint, I expand on these two factors, which lead to misleading advice and imbalanced decision making.


No entries found

Log in to Read the Full Article

Sign In

Sign in using your ACM Web Account username and password to access premium content if you are an ACM member, Communications subscriber or Digital Library subscriber.

Need Access?

Please select one of the options below for access to premium content and features.

Create a Web Account

If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.

Join the ACM

Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.

Subscribe to Communications of the ACM Magazine

Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.

Purchase the Article

Non-members can purchase this article or a copy of the magazine in which it appears.
Sign In for Full Access
» Forgot Password? » Create an ACM Web Account