Abstract Using data from North American rail transit properties, short and long run cost functions are estimated using a neoclassical economic model. Various special econometric techniques are employed to estimate the relationships from a heterogeneous data set. The estimated cost functions are then used to forecast the cost experience of the BART system in San Francisco.
Estimating cost functions for rail rapid transit properties
1977-07-12
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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