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Orangia highways (A) / Péter Esö, Peter Klibanoff, Karl Schmedders, Graeme Hunter.

By: Contributor(s): Material type: TextSeries: Publisher: London : Kellogg School of Management, 2006Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781526449665 (ebook) :
Subject(s): DDC classification:
  • 625.7
Online resources: In part A of this case, highway procurement auctions are analyzed from the perspective of the buyer-auctioneer. The case provides the results of a regression in which the ratio of the project's price to its estimated cost is regressed on a number of project attributes (including estimated costs, duration, and number of bidders). Students are asked to establish basic facts regarding this estimated relationship (significance of variables, confidence intervals for changes, etc.) and set up and estimate a regression model to predict the winning bid based on project attributes, and compute the probability that the actual winning price will be below the estimated cost.
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Originally published in Esö, P., Klibanoff, P., Schmedders, K., & Hunter, G. (2006). Orangia highways (A). 5-106-007(A). Evanston, IL: Kellogg School of Management at Northwestern University.

In part A of this case, highway procurement auctions are analyzed from the perspective of the buyer-auctioneer. The case provides the results of a regression in which the ratio of the project's price to its estimated cost is regressed on a number of project attributes (including estimated costs, duration, and number of bidders). Students are asked to establish basic facts regarding this estimated relationship (significance of variables, confidence intervals for changes, etc.) and set up and estimate a regression model to predict the winning bid based on project attributes, and compute the probability that the actual winning price will be below the estimated cost.

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