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Estimating Lock Congestion

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  • Jo Reynaerts

Abstract

We consistently estimate the parameters of 600 and 1200 ft lock congestion func- tions by exploiting the geographical variation in demand patterns for individual locks along the Upper Mississippi River system of locks and dams. In addition to avoiding endogeneity bias, we control for lock-specific heterogeneity in estimating a fixed- effects regression model that relates lock congestion to lock usage and lock charac- teristics. Using a panel data set spanning the years 1993–2010, we find significant empirical evidence of the existence of a quadratic lock congestion function for 600 ft technology in the sense of BPR (1964). While 1200 ft technology on the other hand seemly operates under free-flow conditions, the presence of an auxiliary chamber significantly mitigates congestion, with the effect being more pronounced for higher levels of traffic. Unscheduled lock outages and non-commercial traffic attenuate lock congestion.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jo Reynaerts, 2012. "Estimating Lock Congestion," Working Papers of VIVES - Research Centre for Regional Economics 482526, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    • Handle: RePEc:ete:vivwps:482526
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    File URL: https://lirias.kuleuven.be/retrieve/301511
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    Cited by:

    1. T. Edward Yu & Bijay P. Sharma & Burton C. English, 2019. "Investigating Lock Delay on the Upper Mississippi River: a Spatial Panel Analysis," Networks and Spatial Economics, Springer, vol. 19(1), pages 275-291, March.
    2. Lijuan Yang & Eldon Y. Li & Yu Zhang, 2020. "Pricing and Subsidy Models for Transshipment Sustainability in the Three Gorges Dam Region of China," Sustainability, MDPI, vol. 12(17), pages 1-20, August.

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