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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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e<br />

others. The usual estimating equation is a simple linear or log-linear<br />

equation which expresses the quantity carried by a certain mode of<br />

transportation as a function of the rate charged by that mode, perhaps<br />

the rates charged by competing modes of transport and, usually, several<br />

exogenous variables. This simple procedure is beset with several tech-<br />

nical difficulties. First of all, the estimation of a single demand<br />

equation is a touchy matter. Unless the estimating equation is derived<br />

from a sound, and valid, theory we cannot be certain that the demand<br />

relation will actually be captured. A supply curve may be estimated<br />

or we may estimate some combination of the two curves. This indeter-<br />

minacy is compounded when we desire to estimate two or more separate<br />

but interrelated demand functions. We must first weed out the supply<br />

influences and then separate the demand influences by mode. These are<br />

very difficult problems. In short, simple estimation procedures which<br />

deal with single demand functions <strong>for</strong> several modes of transport may<br />

(1) not capture the demand influences at all, and/or (2) not discrimi-<br />

nate between the modal demands in a meaningful manner.<br />

We have attempted to overcome these difficulties by constructing<br />

an economic model of the transportation market which takes account of<br />

the influences of several separate modal supply curves and then de-<br />

riving our estimating equations directly from this model. This pro-<br />

cedure has been only partially successful. In order to construct a<br />

model which at least partially reflects the real world we have had to<br />

introduce the associated costs of transportation. These costs differ<br />

<strong>for</strong> each mode of transport and have not been captured in any of the data<br />

collected thus far. There<strong>for</strong>e, it has been impossible to estimate our<br />

entire model and, in general, we have not been able to derive estimates<br />

165

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