The rise of online shopping has also exacerbated income inequality, the researchers found. Higher-income households enjoy about three times the gains of lower-income ones, relative to their spending. Households with annual incomes above US$50,000 do about 9.7 per cent of their spending online. For lower-income households, the figure is around 3.4 per cent.
MIT Sloan economist Catherine Tucker, who recently proposed a framework for evaluating the gains from digital commerce, in the Journal of Economic Literature, said the Stanford team's measurements were a valuable complement to government statistics. Tucker has worked with Stanford's Liran Einav, an author on the paper, but was not involved in this project.
Einav said Visa's data was "one of the few options" for measuring online activity across sectors and creating broad, economywide measures.
The economists estimated how much customers valued time and convenience by measuring how far someone was willing to drive before they would break down and shop at the same merchant online.
When the company offers online and offline options and the bricks-and-mortar option is a mile away, a customer will choose online about 12 per cent of the time. When it's 50 miles away? The customer will take the online option more than half of the time.
Yet, contrary to expectations, Americans in remote locations did not rely more on online shopping. Instead, the researchers found people in more densely populated areas were more likely to do their shopping online, though that may also be tied to education levels and access to Internet connections and banking services.
There's no formal definition of e-commerce. In this case, researchers chose to include online purchases of travel and hotels, but excluded recurring payments and bills.
The challenge of measuring the impact of timesaving search engines or mapping apps has been widely discussed. Less attention has been paid to what Klenow called the "unmeasured GDP growth" created by providing online access to goods.
"It's a significant component of growth that's occurring but isn't emphasised in the standard measurement," Klenow said.
In a separate 2018 working paper, Klenow used prices from Adobe Analytics to show online inflation lagging overall inflation by about 1.3 percentage points each year. If online commerce isn't properly weighted, official measurements of price growth, and thus of real economic growth, could be off.
Poor measurement of the online economy isn't merely an academic issue. It may make the economy appear smaller or faster-growing than it is. That misperception could lead policymakers to take unnecessary action, such as cooling an economy that isn't overheating or stimulating one that's already hot.