Training content is systematic and structured as follows:

1.Theoritical Fundamentals

• Historical development
• Differences between classical and behavioral theory
• Areas of application
• Relevance in modern public policies
• Choices and Preferences
• Loss aversion, time inconsistency, social norms, reciprocity, status quo, etc.
• Beliefs, Overconfidence, optimism bias, availability bias, representativity, etc.
• Information Processing
• Dual-process theory, hassle factors, prominence, framing effects, etc.
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2. Experimentation Using STATA

• What is Nudging?

• Toolkit of instruments

• Engagement Mechanisms, Default Options ( defaults ), Social Comparison (descriptive and prescriptive), Reminders, Framing

• Methodological note: Framework on definition, diagnosis, design, and evaluation to implement behavioral interventions.

• Practical case-study: Real-life behavioral intervention, such as the evaluation of whether a system of message reminders can improve the treatment against life-threatening diseases

• Exploration of data: outcome variables, patient-level, and household characteristics, and descriptive results

• Resolution of exercise in STATA: showcasing commands for balancing, descriptive treatment analysis, and econometric robustness.

  
  

3.Lessons learned in Public Policy

• Behavioral insights from case studies: The review will include a wide range of activities and fields such as:

  ·       Consumer protection,

  ·       Education,

  ·       Energy,

  ·       Environment,

  ·       Financial products,

  ·       Health and Safety,

  ·       Labour Market,

  ·       Tax.

• Q&A and way forward

3.