previous section. Also, the social marginal utilities may change with discrete
changes in individual gains and losses. In truth, a fully speciWed cost±beneWt
analysis is a hopeless task when the distribution is nonoptimal.
7
Policy ana-
lysts are forced to make many simplifying assumptions, yet they cannot really
know whether their assumptions are entirely appropriate or reasonable.
CONCLUSION
No matter how one views the issue, a nonoptimal distribution of income
poses grave diYculties for objective cost±beneWt analysis. As indicated in the
very Wrst chapter of the text, normative theory has never been able to resolve
the distribution question beyond the point of saying to the decision maker:
``Tell us your distributional preferences and we will tell you what to do.'' To
the extent society is unable to develop a consistent set of distributional
preferences, cost±beneWt analysis is Wrmly trapped in a dilemma. On the
one hand, there is no obvious simple and practical way of incorporating
distributional preferences into the analysis. On the other hand, there is no
way of judging the value of an analysis which chooses to ignore distributional
considerations. Indeed, if the distribution is nonoptimal, it may not even be
possible to compute the eYciency implications for any given project because
of various aggregation biases. Estimated market demand curves might yield
highly inaccurate compensation measures of aggregate gains and losses.
Finally, even if society's distributional preferences were well established,
the data required to incorporate them consistently into the shadow prices
for government projects are formidable, to say the least.
There is one apparent avenue for escaping the dilemma. The analyst can
adopt the Jorgenson±Slesnick framework for estimating social welfare and
social expenditure functions that we presented in Chapter 4. It is not a clean
escape, however, because this framework avoids aggregation problems by
assuming as a maintained hypothesis the so-called exact aggregation restric-
tions, which are restrictions on the parameters of the indirect utility func-
tions. These are in addition to the many other restrictions taken from
neoclassical consumer theory that are required for the estimation of the
underlying system of expenditure share equations. Unfortunately, these re-
strictions are very likely to fail standard statistical tests in any application,
which calls into question the reliability of their estimated indirect utility
functions. There is no sure escape from the dilemma.
7
Peter Hammond provides an excellent discussion of the diYculties of applied cost±beneWt
analysis that expands upon the discussion in the text in P. Hammond, ``Theoretical Progress in
Public Economics: A Provocative Assessment,'' Oxford Economic Papers, January 1990, sections
8±13. He includes some troubling econometric issues that we have ignored.
816 CONCLUSION
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