ECONOMICS-08 · Advanced · ENGLISH · PLANNED
State the question and assumptions, draw the model, analyse evidence and test competing explanations.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Economics | Game Theory, Behaviour and Industrial Organisation
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Sign in to save this learning pathPractical outcome: Analyse pricing choices in a two-firm classroom simulation.
Explain strategic games using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Explain dominant strategies using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Explain nash equilibrium using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Explain mixed strategies using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Use the first concepts from this section. Analyse pricing choices in a two-firm classroom simulation. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain sequential games using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Explain backward induction using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Explain repeated games using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Explain incomplete information using a visual and one worked real-world example. Context: Analyse pricing choices in a two-firm classroom simulation. End with a prediction or check-for-understanding.
Analyse pricing choices in a two-firm classroom simulation. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Strategic games, Dominant strategies, Nash equilibrium and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Design an ethical hypothetical experiment on consumer choices.
Explain bounded rationality using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Explain reference dependence using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Explain loss aversion using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Explain present bias using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Use the first concepts from this section. Design an ethical hypothetical experiment on consumer choices. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain social preferences using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Explain framing using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Explain choice architecture using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Explain replication using a visual and one worked real-world example. Context: Design an ethical hypothetical experiment on consumer choices. End with a prediction or check-for-understanding.
Design an ethical hypothetical experiment on consumer choices. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Bounded rationality, Reference dependence, Loss aversion and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Evaluate a fictional platform market without assuming one market structure fits all.
Explain monopoly pricing using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Explain price discrimination using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Explain oligopoly using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Explain entry barriers using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Use the first concepts from this section. Evaluate a fictional platform market without assuming one market structure fits all. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain product differentiation using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Explain two-sided markets using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Explain network effects using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Explain competition policy concepts using a visual and one worked real-world example. Context: Evaluate a fictional platform market without assuming one market structure fits all. End with a prediction or check-for-understanding.
Evaluate a fictional platform market without assuming one market structure fits all. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Monopoly pricing, Price discrimination, Oligopoly and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Evaluate a fictional platform market without assuming one market structure fits all. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Game Theory, Behaviour and Industrial Organisation, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Economic diagrams, synthetic datasets, calculations and evidence-based policy memos. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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