Course Title: Training Course on Behavioural Economics
Executive Summary
This two-week intensive course on Behavioural Economics offers participants a comprehensive understanding of how psychological insights can be applied to improve decision-making in various contexts. Participants will explore core concepts such as cognitive biases, heuristics, framing effects, and nudging techniques. The course emphasizes practical application through case studies, experiments, and real-world examples across fields like finance, marketing, public policy, and healthcare. Participants will learn to design interventions that leverage behavioural insights to promote positive outcomes, increase efficiency, and enhance well-being. The program aims to equip participants with the knowledge and skills to critically evaluate and implement behavioural strategies within their respective organizations and sectors, fostering innovation and impactful decision-making.
Introduction
Behavioural Economics integrates insights from psychology and economics to provide a more realistic understanding of human decision-making. Traditional economic models assume rationality, but behavioural economics acknowledges that individuals often deviate from rational choices due to cognitive biases, emotional influences, and social factors. This course provides a comprehensive exploration of these behavioural phenomena and their implications for various fields. Participants will learn how to identify and understand these biases, and how to leverage them to design interventions that promote better choices and improve outcomes. The course blends theoretical frameworks with practical applications, enabling participants to translate academic research into real-world solutions. By understanding the nuances of human behaviour, participants can enhance their decision-making skills, design more effective policies, and create more impactful strategies within their respective organizations and industries.
Course Outcomes
- Understand core concepts and principles of behavioural economics.
- Identify and analyze cognitive biases and heuristics that influence decision-making.
- Apply behavioural insights to design effective interventions and nudges.
- Evaluate the ethical considerations of using behavioural techniques.
- Develop strategies to improve decision-making in various contexts, including finance, marketing, and public policy.
- Critically assess the effectiveness of behavioural interventions.
- Communicate behavioural economics concepts effectively to diverse audiences.
Training Methodologies
- Interactive lectures and discussions.
- Case study analysis and group work.
- Experimental simulations and behavioural games.
- Guest speaker presentations from industry experts.
- Hands-on workshops on designing behavioural interventions.
- Peer review and feedback sessions.
- Real-world project development and presentation.
Benefits to Participants
- Enhanced understanding of human decision-making processes.
- Improved ability to identify and mitigate cognitive biases.
- Skills to design and implement effective behavioural interventions.
- Increased capacity to make informed and rational decisions.
- Expanded professional network and collaboration opportunities.
- Greater ability to influence behaviour and achieve desired outcomes.
- Certification recognizing competency in behavioural economics.
Benefits to Sending Organization
- Improved decision-making processes across departments.
- Increased efficiency and productivity through behavioural interventions.
- Enhanced customer engagement and satisfaction.
- Better policy design and implementation.
- Stronger employee engagement and motivation.
- Increased innovation and creativity in problem-solving.
- Improved organizational performance and competitive advantage.
Target Participants
- Marketing professionals.
- Finance professionals.
- Public policy makers.
- Healthcare administrators.
- Human resources managers.
- Product development managers.
- Consultants and advisors.
Week 1: Foundations of Behavioural Economics
Module 1: Introduction to Behavioural Economics
- Origins and evolution of behavioural economics.
- Distinction between behavioural economics and traditional economics.
- Key concepts: rationality, bounded rationality, and heuristics.
- Cognitive biases and their impact on decision-making.
- Framing effects and loss aversion.
- The role of emotions in decision-making.
- Ethical considerations in behavioural economics.
Module 2: Cognitive Biases and Heuristics
- Availability heuristic and representativeness heuristic.
- Anchoring bias and adjustment.
- Confirmation bias and hindsight bias.
- Overconfidence bias and optimism bias.
- The Dunning-Kruger effect.
- Strategies for mitigating cognitive biases.
- Case study: Cognitive biases in financial decision-making.
Module 3: Prospect Theory and Loss Aversion
- Introduction to prospect theory.
- Value function and probability weighting.
- Loss aversion and its implications.
- Framing effects and their impact on choices.
- Endowment effect and status quo bias.
- Applications of prospect theory in marketing and finance.
- Experiment: Loss aversion and investment decisions.
Module 4: Social Influences and Behaviour
- Social norms and conformity.
- Herding behaviour and informational cascades.
- Social proof and its applications.
- Authority bias and obedience.
- Groupthink and its dangers.
- Strategies for leveraging social influences.
- Case study: Social influence in public health campaigns.
Module 5: Nudging and Behavioural Interventions
- Introduction to nudging and its principles.
- Types of nudges: defaults, framing, and social norms.
- Designing effective nudges.
- Ethical considerations of nudging.
- Applications of nudging in various domains.
- Critiques of nudging.
- Workshop: Designing a nudge to promote healthy eating.
Week 2: Applications and Implementation
Module 6: Behavioural Economics in Finance
- Behavioural finance and its principles.
- Investor biases and market anomalies.
- Herding behaviour in financial markets.
- Loss aversion and investment decisions.
- Cognitive biases and financial planning.
- Strategies for overcoming investor biases.
- Case study: Behavioural biases and the 2008 financial crisis.
Module 7: Behavioural Economics in Marketing
- Applying behavioural insights to marketing strategies.
- Framing effects and advertising.
- Decoy effect and product positioning.
- Social proof and customer reviews.
- Loss aversion and promotional offers.
- Neuromarketing and its applications.
- Workshop: Designing a behavioural marketing campaign.
Module 8: Behavioural Economics in Public Policy
- Using behavioural insights to design effective policies.
- Nudging and policy interventions.
- Behavioural economics and public health.
- Behavioural economics and environmental policy.
- Behavioural economics and education.
- Ethical considerations in policy design.
- Case study: Behavioural interventions to promote energy conservation.
Module 9: Behavioural Economics in Healthcare
- Applying behavioural insights to improve healthcare outcomes.
- Patient adherence and medication compliance.
- Informed consent and decision-making.
- Framing effects and health communication.
- Nudging and healthy lifestyle choices.
- Behavioural interventions to reduce healthcare costs.
- Case study: Behavioural interventions to promote vaccination.
Module 10: Implementing Behavioural Interventions
- Steps for implementing behavioural interventions.
- Identifying target behaviours and audiences.
- Designing and testing interventions.
- Measuring the effectiveness of interventions.
- Scaling up successful interventions.
- Overcoming challenges in implementation.
- Project presentations: Implementing behavioural interventions in various contexts.
Action Plan for Implementation
- Identify a specific problem area within your organization or domain where behavioural insights can be applied.
- Conduct a thorough analysis of the current situation, including identifying key stakeholders and potential barriers to change.
- Develop a clear and measurable objective for the behavioural intervention.
- Design a behavioural intervention based on the principles and techniques learned in the course.
- Pilot test the intervention on a small scale and gather data on its effectiveness.
- Refine the intervention based on the results of the pilot test.
- Implement the intervention on a larger scale and continuously monitor its impact.
Course Features
- Lecture 0
- Quiz 0
- Skill level All levels
- Students 0
- Certificate No
- Assessments Self





