While labor productivity
growth in five advanced economies has seen a downturn,
as creators and workers realize their collective power in the coming
months and years, these movements will grow in number. And as demonstrated
throughout history, many can sometimes significantly outperform
the power of the hierarchical few:
economics and real-time revolution. Also, recently three
economists & a revolution: 2021’s economics Nobel laureates freed the discipline
from limiting theory bonds. Whereby platforms like Facebook and
other media have rewritten the contract between workers and companies.
The pandemic has made
many observers look clueless about the world economy. Few predicted $80 oil,
let alone fleets of container ships waiting outside Californian and Chinese
ports. As covid-19 let rip in 2020, forecasters overestimated how high unemployment
would be by year-end. Today prices are rising faster than expected, and nobody
knows if inflation and wages will spiral upward. Economists often struggle with
too little information to pick the policies that maximize jobs and growth.
The world is on the
brink of a real-time revolution in economics as the quality and timeliness of
information are transformed. Big firms from Amazon to Netflix already use
instant data to monitor grocery deliveries and how many people are glued to
“Squid Game.” The pandemic has led governments and central banks to experiment,
from watching restaurant bookings to tracking card payments. The results are
still rudimentary, but as digital devices, sensors, and fast prices become
ubiquitous, the ability to observe the economy will improve. That holds open
the promise of better public-sector decision-making - as well as the temptation
for governments to meddle.
The desire for better
economic data is hardly new. America’s gnp estimates
date to 1934 and initially came with a 13-month time lag. In the 1950s, a young
Alan Greenspan monitored freight-car traffic to arrive at early estimates of
steel production. Ever since Walmart pioneered supply-chain management in the
1980s, private-sector bosses have seen timely data as a source of competitive
advantage. But the public sector has been slow to reform how it works. The
official figures that economists track - think of gdp or
employment - come with lags of weeks or months and are often revised
dramatically. Productivity takes years to calculate accurately. It is only a
slight exaggeration to say that central banks are flying blind.
Insufficient and late
data can lead to policy errors costing millions of jobs and trillions of
dollars in lost output. The financial crisis would have been less harmful had
the Federal Reserve cut interest rates near zero in December 2007, when America
entered recession. Patchy data about a vast informal economy and rotten banks
have made it harder for India’s policymakers to end their country’s decade of
low growth. The European Central Bank wrongly raised interest rates in 2011
amid a temporary burst of inflation, sending the euro area back into
recession. The Bank of England may be about to make a similar
mistake today.
This week’s comments
by Andrew Bailey, the bank’s governor, led traders to place about 80% odds on a
rate increase on November 4th. While the governor has promised only to be
vigilant, the bank has not disabused bond desks of the notion that a series of rate
rises are imminent. Inflation has risen to over 3% and will probably reach 5%
by spring. But many of the forces pushing it up, such as energy-price
increases, should prove temporary. The bank should disregard inflation when it
is caused by supply disruptions, such as higher commodity prices.
The pandemic has
changed the way governments and central banks conduct business. Without the
time to wait for official surveys to reveal the effects of the virus or
lockdowns, they have experimented, tracking mobile phones, contactless
payments, and real-time use of aircraft engines. Today’s star economists run
well-staffed labs that crunch numbers. Firms such as JPMorgan Chase have opened
up treasure chests of data on bank balances and credit card bills, helping
reveal whether people are spending cash or hoarding it.
These trends will
intensify as technology permeates the economy. A larger share of spending is
shifting online, and transactions are being
processed faster. Real-time payments grew by 41% in 2020, according to
McKinsey. More machines and objects are being fitted with sensors, and Govcoins, or central-bank digital currencies (cbds), might soon provide a goldmine of real-time detail
about how the economy works.
Timely data would cut
the risk of policy cock-ups - it would be easier to judge if a dip in activity
was becoming a slump. And the levers governments can pull will improve, too.
Central bankers reckon it takes 18 months or more for a change in interest rates
to take full effect. But Hong Kong is trying out cash handouts in digital
wallets that expire if they are not spent quickly. cbd might
allow interest rates to fall profoundly negative. Good data during crises could
let support be precisely targeted; imagine loans only for firms with robust
balance sheets but a temporary liquidity problem. Instead of wasteful universal
welfare payments made through social-security bureaucracies, the poor could
enjoy instant income top-ups if they lost their job, paid into digital wallets
without any paperwork.
The real-time
revolution promises to make economic decisions more accurate, transparent, and
rules-based but also brings dangers. New indicators may be misinterpreted, as
are the detailed surveys by statistical agencies. Big firms could hoard data,
giving them an undue advantage. Private firms such as Facebook,
which launched a digital wallet this week, may one day have more
insight into consumer spending than the Fed does.
The most significant danger
is hubris. With a panopticon of the economy, it will be tempting for
politicians and officials to imagine they can see far into the future or mold
society according to their preferences and favor particular groups. This is the
dream of the Chinese Communist Party, which seeks to engage in the form of
digital central planning.
No amount of data can
reliably predict the future. Unfathomably complex, dynamic economies rely not
on Big Brother but on the spontaneous behavior of millions of independent firms
and consumers. Instant economics isn’t about clairvoyance or omniscience. Instead,
its promise is prosaic but transformative: better, timelier, and more rational
decision-making.
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