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By Andrew F. Daughety

First released in 1985 and strongly quantitative in flavour, Analytical stories in delivery Economics provides paintings that was once on the frontier of analysis within the box of shipping economics. Written by way of many of the top students during this box, it covers intercity freight and air passenger shipping. The 8 papers integrated disguise a variety of modelling methods and tackle various shipping matters. they're all, notwithstanding, keen on the research of present concerns - questions of productiveness, optimum pricing and legislation, prediction of equilibrium, and the issues of festival. the gathering is preceded via a useful creation and assessment through the editor. supplied to put the amount in context, this review provides a quick evaluation of the suitable literature after which endeavours to give the typical effects and findings which lower around the person papers or techniques.

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Extra resources for Analytical Studies in Transport Economics

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Thus, they have primarily concentrated on the questions of industry structure and conduct and performance, with particular attention to rates and service levels. An equally important aspect of industry performance, however, is produc­ tivity. Although this has been largely ignored in analyses of the trucking industry, the implications of regulation for dynamic efficiency and productiv­ ity may be just as important as its implications for static efficiency and pricing policies. Indeed, preliminary work in this area by Friedlaender and Wang Chiang ( 1983) indicates that substantial productivity gains arise through oper­ ating characteristics, such as length of haul, that can be affected by regulatory policies dealing with route and operating authorities.

T = 6 = 1 1979 Output was measured in terms of aggregate ton-miles. Although there have been a number of recent efforts to estimate a multiple-output cost function to take the heterogeneity of output explicitly into account (see, for example, Harmatuck [ 198 1 ] and Wang Chiang and Friedlaender [ 1984]), data limita­ tions prevented such disaggregation. Because, however, the inclusions of a sufficient range of technological variables or operating characteristics can serve to capture much of the heterogeneity of output, the following operating characteristics were included in the analysis: average length of haul (alh), average load (load), average shipment size (size), insurance costs per ton-mile (ins), and the percentage of LTL traffic carried by the firm (ltl).

9999 / Nested hypothesis tests of technical change. 3. 99. 9 percent confidence level. Estimated model In estimating the augmentation specification of the cost function, a number of the parameters on the interaction and third-order terms were found to be highly insignificant. Thus these variables were deleted. 14 Table 2. 1 gives the estimated coefficients for this ' 'parsimonious'' augmentation specification of the cost function C = C('t(t,1),w,y, ) 15 and its associated factor share equa14 is Specifically, all third-order terms with a t-statistic under 0.

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