Efforts are under way to improve macroeconomic models
Jan 19th 2013 | WASHINGTON, DC |From the print edition
THE models that dismal scientists use to represent the way the economy works
are sometimes found wanting. The Depression of the 1930s and the stagflation
of the 1970s both forced rethinks. The financial crisis has sparked another.
The crisis showed that the standard macroeconomic models used by central
bankers and other policymakers, which go by the catchy name of dynamic
stochastic general equilibrium (DSGE) models, neither represent the financial
system accurately nor allow for the booms and busts observed in the real world.
A number of academics are trying to fix these failings.
Their first task is to put banks into the models. Today s mainstream macro
models contain a small number of representative agents , such as a household,
a non-financial business and the government, but no banks. They were omitted
because macroeconomists thought of them as a simple veil between savers and
borrowers, rather than profit-seeking firms that make loans opportunistically
and may themselves affect the economy.
This perspective has changed, to put it mildly. Hyun Song Shin of Princeton
University has shown that banks internal risk models make them take more and
more risk as asset prices rise, for instance. Yale s John Geanakoplos has long
argued that small changes in the willingness of creditors to lend against a
given asset can have large effects on that asset s price. Easy lending terms
allow speculators with little cash to bid up prices far above their fundamental
value. If lenders become more conservative, these marginal buyers are forced
out of the market, causing prices to tumble.
Realistically representing the financial sector would help solve the other big
problem with mainstream macro models: that they are inherently stable unless
disturbed from the outside. This feature is helpful when studying how an
economy in equilibrium responds to things like a spike in the price of
petrol, but it limits economists understanding of why economies expand and
contract in the absence of such external shocks. Highly leveraged financial
firms with portfolios of risky assets are bound to upend an economy every so
often. Having banks in models would generate shocks from within the system.
The world s big central banks are interested in these new ideas, although staff
economists are reluctant to abandon existing industry-standard models. If any
central bank is likely to experiment, however, it is the European Central Bank,
thanks to its two-pillar approach to assessing the risks of price stability.
The ECB pays as much attention to monetary analysis , which includes things
like bank lending and money creation, as to economic analysis , which is more
concerned with things like inflation and joblessness.
Improving DSGE models is the obvious way to take the lessons of the crisis on
board. But others exist too. Agent-based modelling tries to depict the
transactions that might occur in an actual economy. These models are populated
by millions of agents that gradually alter the economy as they interact with
each other. The idea was developed in the 1990s when biologists wanted to study
the behaviour of ant colonies and the flocking of birds. But modelling an
entire economy did not become practical until recently because of the sheer
number of calculations needed.
The evolutionary structure of agent-based models allows economists to study how
bubbles and crises occur over time. For example, an increase in bank lending
means more spending and therefore higher returns on existing investment, which
in turn encourages further lending. But too much lending can prompt the central
bank to raise rates if inflation starts to accelerate. Higher borrowing costs
could lead to a wave of defaults and even to a crisis if too much debt was
taken on during the boom.
The EURACE project, an initiative by a consortium of European research bodies,
has produced a sophisticated agent-based model of the EU s economy that
scholars have used to model everything from labour-market liberalisation to the
effects of quantitative easing. In Australia Steve Keen, an economist, and
Russell Standish, a computational scientist, are developing a software package
that would allow anyone to create and play with models of the economy that
incorporate some of these new ideas. Called Minsky after Hyman Minsky, an
American economist celebrated for his work on boom-and-bust financial cycles it
places the banking system at the centre of the economy.
A long road lies ahead, however. Nobody has got something so convincing that
the mainstream has to put up its hands and surrender, says Paul Ormerod, a
British economist. No model yet produces the frequent small recessions,
punctuated by rare depressions, seen in reality. But ultimately, Mr Shin
says, macro is an empirical subject. It cannot forever remain impervious to
the facts .