The United Nation's 17 Sustainable Development Goals (SDGs) address the most important economic, social, environmental and governance challenges of our time. Suppose you have been engaged by an organisation (can be private, public or non-profit) to help them solve a SDG goal-oriented issue they are currently facing, using your expertise in behavioural and experimental economics. In engaging you, they want to assure their stakeholders that this issue can be solved using evidence-based solutions and policies.

Here are the steps we suggest you follow:

1. Pick an organisation = Nike and identify a particular problem they want to address = Affordable shoes. The problem needs to be SDG goal-oriented and appropriate for analysis using behavioural and experimental economics theories, concepts and methods. Explain the problem, briefly provide some background information and why it is important to address it (the "so what?" question). [roughly 250 w]

2. Next, perform a literature review of the behavioural and experimental economics research that has been conducted in this area so far. Identify five or more directly relevant research articles. From these, provide a critical analysis and summary of the current state of knowledge relevant to this problem. [roughly 800 - 1000 w]

3. Based on your literature review, suggest an appropriate solution to solve the problem (if there are a few, choose the most promising one). Generate one or more testable hypotheses based on your review. Link these to the problem to be solved. [roughly 200 w]

4. Then design a controlled economic experiment to test these. The aim is to provide the organisation with robust empirical evidence that your solution will work (and/or perhaps the conditions under which it will work). [roughly 1300 - 1500 w]

Use the experimental economics process and principles covered in this unit.

In particular:

• The type of experiment. Explain why you have chosen this.
• The experimental design. Provide a full description of the experiment and how this will test your hypotheses.
• The implementation of the experiment. Consider the subjects, the incentives, the task/elicitation and the environment.
• Planning and preparation. Consider human ethics, interface/platform, pilot sessions and experimental protocol.
• Conducting the sessions. Although you will not be actually conducting the experiment, identify some issues you foresee may need addressing when conducting the sessions.
• Data analysis. Briefly consider how you will analyse the data collected in order to test the hypotheses.

5. Finally, conclude by reflecting on the pros, cons and limitations of your approach. [roughly 250 w]