Xbox Auction Transactions and Outcomes

Columns

• auctionid: A unique identifier assigned to each individual auction for tracking purposes.
• bid: The specific amount (in currency units) placed by a bidder during the auction.
• bidtime: The precise time the bid was placed, measured in days from the start of the auction (ranging from 0 to 3 days).
• bidder: The eBay username associated with the participant placing the proxy bid.
• bidderrate: The feedback rating of the bidder on eBay, serving as a proxy for user reputation and experience.
• openbid: The initial starting bid amount set by the seller at the commencement of the auction.
• price: The final selling price of the item, calculated as the second-highest bid plus a standard increment.

Distribution

• Format: CSV (Comma Separated Values)
• Size: Approximately 26.57 kB
• Structure: Tabular data containing 557 valid records across 7 columns.
• Data Health: The sample indicates 100% valid entries with zero missing or mismatched values across key fields.

Usage

• Auction Dynamics Analysis: ideal for studying bid timing strategies (sniping vs. early bidding) and price formation.
• Price Prediction Models: Training machine learning algorithms to forecast final auction prices based on opening bids and bidder characteristics.
• User Behaviour Profiling: Analysing the relationship between bidder reputation (feedback ratings) and bidding aggression.
• Market Trend Research: Understanding demand fluctuations for gaming consoles in secondary markets.
• Fraud Detection Research: Investigating patterns that might indicate shill bidding or anomalous auction activity.

Coverage

• Geographic Scope: Global (based on eBay's international platform, though specific country codes are not listed).
• Time Range: The data covers 3-day auction windows, with bid times recorded continuously throughout the duration.
• Subject Matter: Specifically focuses on Xbox game consoles.
• Demographic Scope: Includes a diverse range of bidders, from those with 0 feedback rating to high-reputation users (up to 1494 rating).

License

Who Can Use It

• Economists: For testing auction theory models and consumer surplus estimation.
• Data Scientists: For feature engineering and regression analysis exercises.
• E-commerce Analysts: For competitive intelligence and pricing strategy optimisation.
• Academic Researchers: For studies in behavioural economics and online marketplace interactions.

Dataset Name Suggestions

• eBay Xbox 3-Day Auction Data
• Online Bidding Behaviour & Price Dynamics
• Console Resale Market History
• Xbox Auction Transactions and Outcomes

Attributes