Orangia Highways (A)

Kellogg School of Management Cases

ISSN: 2474-6568

Publication date: 20 January 2017

Abstract

To analyze highway procurement auctions from the buyer-auctioneer perspective, establish basic facts regarding the project price-to-estimated cost ratio, set up and estimate a structural regression model to predict the winning bid, and compute the probability the winning price will be below estimated cost. Difficulties include heteroskedasticity, logarithmic specification, and omitted variable bias. Also to estimate a Logit regression and predict bidder collusion probability.

Keywords

Citation

Eso, P., Klibanoff, P., Schmedders, K. and Hunter, G. (2017), "Orangia Highways (A)", Kellogg School of Management Cases. https://doi.org/10.1108/case.kellogg.2016.000250

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Kellogg School of Management

Copyright © 2006, The Kellogg School of Management at Northwestern University

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