Bidding models: testing the stationarity assumption
With notably few exceptions, bidding models contain probability distributions with parameters that are assumed to be fixed, or stationary, over time. Some methods of testing the tenability of this assumption are examined and applied to eight datasets. Of particular interest is the statistical significance of two types of periodicity: (1) that bidders gradually reduce their bids prior to winning a contract; and (2) that bidders have periods in which they are more competitive and periods in which they are less competitive. To test (1), McCaffer and Pettitt's (1976) cusum method is used and shown to have a limited interpretation in this context. McCaffer's 'deficit' statistic is then used in conjunction with a one-way analysis of variance (ANOVA) and shows (1) to be untenable for the samples involved. To test (2), the deficit statistic is again used with an ANOVA to examine all possible sub-series of bids.
Volume (Year): 24 (2006)
Issue (Month): 8 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RCME20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RCME20|
When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:24:y:2006:i:8:p:791-803. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.