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首页> 外文期刊>Transportation Research Part B: Methodological >The econometric estimation of airports' cost function
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The econometric estimation of airports' cost function

机译：机场成本函数的计量经济学估计

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摘要

The econometric estimation of cost functions has been proposed in the literature as a suitable approach in order to obtain estimations of marginal costs, efficiency levels and scale elasticities for transport industries. However, regarding the airport industry, no significant attention has been paid in developing an airport-specific estimation methodology rather than adapting the procedures applied to other industries. The lack of comparable airport data is one of the causes which could explain the scarcity of this literature in the past, as well as the use of very limited approaches to explain airport technology. This paper tries to overcome these limitations by developing an airport-specific methodology to estimate a multi-output long-run cost function using an unbalanced pooled database on 161 airports worldwide. The specification of hedonically-adjusted aircraft operations, domestic and international passengers, cargo and commercial revenues in the output vector, as well as the calculation of input prices are discussed. Both technical and allocative inefficiencies are specified in the model using a Stochastic Frontier method that has been estimated through Bayesian Inference and Markov Chain Monte Carlo methods.
机译：成本函数的计量经济学估计已作为一种合适的方法在文献中提出，以便获得运输行业边际成本，效率水平和规模弹性的估计。但是，关于机场行业，在开发特定于机场的估算方法而不是调整适用于其他行业的程序时，并没有给予足够的重视。缺乏可比的机场数据是可以解释该文献过去匮乏的原因之一，以及使用非常有限的方法来解释机场技术的原因之一。本文试图通过开发一种特定于机场的方法，使用不平衡的汇总数据库来估计全球161个机场的多输出长期成本函数，来克服这些限制。讨论了经过矢量调整的飞机操作，国内和国际旅客，货物和商业收益在输出矢量中的规格以及输入价格的计算。模型中的技术效率低下和分配效率低下都是使用随机前沿方法指定的，该方法已通过贝叶斯推断和马尔可夫链蒙特卡洛方法进行了估算。

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