Quote of the Day

“Data is neither a good or service. It’s intangible, like a service, but can easily be stored and delivered far from its original production point, like a good.” Michael Mandel

He goes on to make a useful observation about how our national statistics surveys may be missing something important:

Paradoxically, economic and regulatory policymakers around the world are not getting the data they need to understand the importance of data for the economy. Consider this: The Bureau of Economic Analysis, the U.S. agency which estimates economic growth, will tell you how much Americans increased their consumption of jewelry and watches in 2011, but offers no information about the growing use of mobile apps or online tax preparation programs. Eurostat, the European statistical agency, reports how much European businesses invested in buildings and equipment in 2010, but not how much those same businesses spent on consumer or business databases. And the World Trade Organization publishes figures on the flow of clothing from Asia to the United States, but no official agency tracks the very valuable flow of data back and forth across the Pacific.

The problem is that data-driven economic activities do not fit naturally into the traditional economic categories. Since the modern concept of economic growth was developed in the 1930s, economists have been systematically trained to think of the economy is being divided into two big categories: ‘Goods’ and ‘services’.

Goods are physical commodities, like clothes and steel beams, while services include everything else from healthcare to accounting to haircuts to restaurants. Goods are tangible and can be easily stored for future use, while services are intangible, and cannot be stockpiled for future use. In theory, a statistician could estimate the output of a country by counting the number of cars and the bushels of corns coming out of the country’s factories and farms, and by watching workers in the service sector and counting the number of haircuts performed and the number of meals served.

But data is neither a good or service…