|
Title: Modeling Competitive Strategy Choice and Cognitive Learning Dynamics: Application to Electronic Auction Marketplaces
Accession Number: 01047526
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Many problem contexts give rise to competitive decision situations in which players must make repeated decisions along with or in response to competitors’ decisions. Choice models used in transportation generally assume that trip makers make decisions independently. Auction-based electronic marketplaces for freight service procurement are an example of such environments, and they provide the motivating application context for the models presented in this paper. The specific focus is on the decisions of carriers as bidders for the loads tendered by shippers in spot market situations. The paper considers the player’s choice of strategy of how much to bid in an auction-based marketplace with repeated auctions involving the same set of players. A dynamic strategy choice model structure is formulated, with alternative specifications corresponding to different levels of cognition capacity. The model is intended to describe how a player or agent in a noncooperative game with no perfect information and bounded rationality chooses a bidding strategy. The paper addresses econometric issues that arise in estimating such models given a time series of auction bids and outcomes, and it formulates error structures appropriate to the highly interactive, dynamic nature of competitive auction-based marketplaces. Estimation results are presented for data obtained from hypothetical experiments designed to illustrate the model structure and alternative specifications.
Monograph Title: Monograph Accession #: 01090619
Language: English
Authors: Min, YeonjooMahmassani, Hani SPagination: pp 1-8
Publication Date: 2007
ISBN: 9780309104593
Media Type: Print
Features: References
(16)
; Tables
(3)
TRT Terms: Uncontrolled Terms: Subject Areas: Economics; Freight Transportation; Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning
Files: TRIS, TRB
Created Date: Feb 8 2007 7:08PM
More Articles from this Serial Issue:
|