ca_task

An oTree app for eliciting correlation aversion preferences using intertemporal lottery pairs. Subjects choose between paired lotteries to reveal attitudes toward correlated risks.

Features

• CSV-driven instrument: Task configurations loaded from CSV files
• Multi-locale support: Separate configs for different locales (e.g., USA, RSA)
• Randomized display: Top/bottom option positions are randomized
• Multiple lottery pairs: Supports configurable numbers of options and rounds

Setup

Add to your oTree project and include in SESSION_CONFIGS:

SESSION_CONFIGS = [
    dict(
        name='correlation_aversion',
        app_sequence=['ca_task'],
        num_demo_participants=1,
    ),
]

Place instrument CSV files in the configs/ directory.

Author

Brian Albert Monroe