The case for coordinating policies is usually stated
in terms of efficiency gains: it is possible to design a set of
coordinated policies which makes at least one country better off (in
terms of its own policy preferences), without any being made worse off,
than the best outcome possible without coordination. Coordination,
because it takes into account economic interdependence, is beneficial.
Calculations of such efficiency gains usually assume that coordinated
policies are designed using correctly specified models of the economies
concerned and/or perfect foresight regarding the future movements of
exogenous variables. This is seldom a realistic assumption, and
econometric policy projections are often criticized for their
sensitivity to specification errors and to 'information errors'. These
are errors made by the policy-maker when forecasting the future path of
variables outside his control, such as oil prices, but which directly
affect his own policy targets or the behaviour of other interdependent
economies. In Discussion Paper No. 151, Research Fellow Andrew Hughes
Hallett argues that, ironically, the principal attraction of
coordinated economic policies may be their robustness to
'information errors'. This is an important practical consideration,
according to Hughes Hallett, if the theoretical analysis of policy
coordination is to influence policy formulation. Policy-makers are loath
to commit themselves to a sequence of actions which may later need
substantial or frequent revisions. Their scepticism is heightened by
some empirical studies, such as that by Oudiz and Sachs, which suggest
that policy coordination between industrial nations is likely to yield
only small efficiency gains.
Hughes Hallett notes that it is difficult to establish whether
cooperative or non-cooperative policies are more robust to information
errors. There are, however, reasons for thinking that cooperation
increases robustness. Most performance indices are constructed from
combinations of the policy targets. Consequently, if a given shock or
error produces a positive disturbance in one target and a negative
disturbance in another target and/or the same target at a later date,
then the performance index will be disturbed by less than either of the
target variables. Cooperative policies are designed by optimizing a
performance index in which every country's domestic objectives are
combined. This combined index is necessarily more robust to unforeseen
disturbances than any of its individual components, because cooperation
pools the risks between countries. This suggests that cooperative
solutions will be more robust to information errors than non-cooperative
solutions.
This theoretical conclusion is confirmed by Hughes Hallett's empirical
research, at least as long as policy-makers exercise their freedom to
revise their decisions over time. He first simulates a modified version
of the European Commission's 'Comet' model over the period 1974-8. The
greater robustness of cooperative over non-cooperative policies is found
to be stronger for the US economy than for the EEC and, more
significantly, it increases with the degree of uncertainty. That result
is repeated in a second exercise using the EEC's 'Compact' model and
involving explicit cooperation between the United States, the EEC and
Japan in the period 1977-81. The greater robustness of cooperative
policy-making does not appear to be model-dependent, since the
'Comet' and 'Compact' models incorporate different assumptions, for
example regarding wealth effects and market- clearing. There is, he
concludes, a strong practical argument for cooperation as a way of
overcoming some of the uncertainties inherent in econometric policy
analysis.
Macroeconomic Policy Design with