| Lesson Plan |
| Grade: |
Date: 04/03/2026 |
| Subject: Economics |
| Lesson Topic: relationships between different markets: joint demand (complements) |
Learning Objective/s:
- Describe the concept of joint demand and identify examples of complementary goods.
- Explain how a price change in one complement shifts the demand curve of the related good.
- Analyse real‑world complementary markets and predict the direction of demand shifts.
- Evaluate policy or business strategies that exploit joint demand relationships.
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Materials Needed:
- Projector and laptop for presentation
- Whiteboard and markers
- Printed handout with demand‑shift diagrams
- Worksheet containing the practice question
- Calculator (optional for quick calculations)
- Sticky notes for exit tickets
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Introduction:
Begin with a quick poll: “If petrol prices fall, what happens to car sales?” Connect this to students’ prior knowledge of demand curves and set the success criteria: students will be able to illustrate and explain demand shifts for complementary goods.
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Lesson Structure:
- Do‑now (5’) – Recall the effect of price changes on demand for substitutes and complements (short written response).
- Mini‑lecture (10’) – Define joint demand, present the demand function, and highlight the negative cross‑price effect.
- Graphing activity (10’) – In pairs, draw the demand curve for Good X shifting right/left when the price of Good Y falls/rises (using petrol‑car example).
- Case‑study discussion (10’) – Groups analyse the provided table of complementary pairs and predict the direction of demand shifts.
- Practice question (10’) – Individually answer the coffee‑sugar scenario; teacher circulates for formative feedback.
- Summary checklist & exit ticket (5’) – Students list three key take‑aways on a sticky note and hand it in.
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Conclusion:
Recap the definition of joint demand, the direction of demand shifts, and how businesses or governments can respond. Collect exit tickets to gauge understanding, and assign homework: find a local complementary pair, describe a recent price change, and predict the resulting demand shift.
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