Week 5
Key terms:
Experiment: A controlled study to test hypotheses about economic behavior.
Trial: A single play or decision in an experiment.
Period/Round: A set of related trials, often repeated.
Session: The full run of an experiment with a group of subjects.
Block/Treatment: Different experimental conditions tested.
Experimental design: The overall structure and procedures of the experiment.
Environment: The economic context and parameters being studied.
Institution: The rules and mechanisms governing interactions.
Behavior: The observed choices and actions of subjects.
Important considerations:
Motivation: Ensuring subjects are properly incentivized.
Unbiasedness: Avoiding influencing subject behavior.
Calibration: Aligning payoffs to induce desired incentives.
Design Parallelism: Making the lab environment analogous to the real world.
Subjects: Recruiting appropriate participants.
Instructions: Clearly explaining procedures to subjects.
Laboratory Facilities: Having proper equipment and setup.
Induced-Value Theory: The idea that proper monetary incentives can induce specific preferences in subjects for the purpose of the experiment.
Money as Reward Medium: Using real monetary payoffs helps ensure subjects are properly motivated and behave as they would in real economic situations.
Auction: A market mechanism where items are sold to the highest bidder.
Types of auctions:
English (ascending bid)
Dutch (descending bid)
First-price sealed bid
Second-price sealed bid (Vickrey)
Private value auctions: Where each bidder knows their own valuation but not others'.
Common value auctions: Where the item has the same value to all bidders, but that value is uncertain.
Sealed bid auctions: Where all bids are submitted simultaneously.
Open auctions: Where bids are made sequentially and publicly.
Choice experiments: Subjects choose between alternatives with different attributes.
Attributes and levels: The characteristics of alternatives that are varied systematically.
Designing a choice experiment survey:
Identify attributes and levels
Create choice sets using experimental design
Develop survey instrument and instructions
Pilot test and refine
Implement full survey
Analyze results using discrete choice models