Experimental Economics

9.

Advanced Topics and Current Frontiers

9.1.

Field Experiments

9.1.1.

Natural Field Experiments

9.1.1.1.

Real-World Settings

9.1.1.2.

Unobtrusive Measures

9.1.1.3.

Policy Interventions

9.1.2.

Artefactual Field Experiments

9.1.2.1.

Non-Student Subjects

9.1.2.2.

9.1.2.3.

Population Validity

9.1.3.

Framed Field Experiments

9.1.3.1.

Contextual Tasks

9.1.3.2.

Familiar Environments

9.1.3.3.

Institutional Features

9.2.

9.2.1.

Brain Imaging Techniques

9.2.1.1.

9.2.1.2.

Neural Correlates

9.2.1.3.

Decision Processes

9.2.2.

Physiological Measures

9.2.2.1.

9.2.2.2.

9.2.2.3.

Skin Conductance

9.2.3.

9.2.3.1.

Choice Prediction

9.2.3.2.

Preference Measurement

9.2.3.3.

Strategic Behavior

9.3.

Online Experiments

9.3.1.

Internet-Based Studies

9.3.1.1.

Remote Participation

9.3.1.2.

Large Sample Sizes

9.3.1.3.

Cost Effectiveness

9.3.2.

Crowdsourcing Platforms

9.3.2.1.

Amazon Mechanical Turk

9.3.2.2.

Prolific Academic

9.3.2.3.

Quality Control

9.3.3.

Mobile Experiments

9.3.3.1.

Smartphone Apps

9.3.3.2.

9.3.3.3.

Location-Based Studies

9.4.

Machine Learning Applications

9.4.1.

Behavioral Prediction

9.4.1.1.

Classification Algorithms

9.4.1.2.

Pattern Recognition

9.4.1.3.

Feature Selection

9.4.2.

Experimental Design

9.4.2.1.

Adaptive Experiments

9.4.2.2.

Optimal Stopping

9.4.2.3.

Sequential Testing

9.4.3.

9.4.3.1.

Big Data Methods

9.4.3.2.

9.4.3.3.

Image Recognition

9.5.

Ethical Considerations

9.5.1.

Institutional Review Boards

9.5.1.1.

Human Subjects Protection

9.5.1.2.

Risk Assessment

9.5.1.3.

Approval Processes

9.5.2.

Informed Consent

9.5.2.1.

Disclosure Requirements

9.5.2.2.

Voluntary Participation

9.5.2.3.

Withdrawal Rights

9.5.3.

Deception Issues

9.5.3.1.

No-Deception Rule

9.5.3.2.

9.5.3.3.

Alternative Methods

9.5.4.

9.5.4.1.

9.5.4.2.

9.5.4.3.

Previous

8. Data Analysis and Statistical Methods

Go to top

Next

10. Replication and Meta-Analysis