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Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

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limited to the cost and production relations of the firm and the pro-<br />

cess; more aggregative relationships (such as economy-wide or industry<br />

analysis) are ignored. Moreover, the discussion is general in that<br />

methods are considered, not specific applications of those methods.<br />

Statistical Approach. 15 Estimation of cost and production func-<br />

tions by statistical methods depends on data generated during the opera-<br />

tions of the firm or process. It is unlikely that firms will be in<br />

long-run equilibrium at the time they are observed. If they are not,<br />

then it is not likely that a long-run cost or production function will<br />

be estimated. :There<strong>for</strong>e, statistically-estimated cost and production<br />

functions are.merely a means of summarizing actual operating. conditions. ,<br />

at particular times. These functions do not possess the characteristics<br />

of production efficiency and cost minimization displayed by their theo-<br />

retical counterparts.<br />

Apart from this basic criticism of the statistical approach, there<br />

are a host of other problems. In statistical estimation of cost and.<br />

production functions, choice of an algebraic <strong>for</strong>m of the function is<br />

important. This may be based on some knowledge of the physical nature<br />

of the productive process or merely on the basis of "goodness of fit"<br />

criteria. In simultaneous equation models the problem of identifica-<br />

tion remains after the <strong>for</strong>m of the model has been chosen, and the prob-<br />

lems of estimation vary considerably according to the specification of •<br />

the model. Since the source of much cost in<strong>for</strong>mation is accounting<br />

data, deficiencies which characterize these data carry over to the es-<br />

timated functions.<br />

6

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