Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13624
Title: Online auction models and empirical results
Authors: GE HONG
Keywords: auction, online auction, eBay, BIN (Buy It Now), ALO (Additional Listing Option)
Issue Date: 4-Jan-2004
Source: GE HONG (2004-01-04). Online auction models and empirical results. ScholarBank@NUS Repository.
Abstract: Online auction becomes more and more popular. eBay is currently the most popularauction site on the Internet with about 50 million registered users. In my thesis, twofeatures that are available on eBay and are unique to online auctions are studied. Thesetwo features are a?? Buy It Nowa?? (BIN) and a??Additional Listing Optiona?? (ALO). Very fewprevious researches have touched on these two aspects of online auctions. Mathematicalmodels are developed and data analyses are performed to validate our results.
URI: http://scholarbank.nus.edu.sg/handle/10635/13624
Appears in Collections:Master's Theses (Open)

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01_Rev_if_sell__seller_RN_5-50_.pdf14.06 kBAdobe PDF

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02_Random_data_for_sell_rev_5-50.pdf12.62 kBAdobe PDF

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03_RN_final_prices_5-50.pdf11.1 kBAdobe PDF

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04_RA2_final_prices__seller_RN_5-50.pdf13.26 kBAdobe PDF

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05_RA3_final_prices__seller_RN_5-50.pdf11.55 kBAdobe PDF

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06_Rev_if_sell__seller_RA2_5-50_.pdf15.03 kBAdobe PDF

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07_Random_data_for_Auc_rev_without_BIN_5-50.pdf14.46 kBAdobe PDF

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