Income and Substitution & Uncertainty Focused Study Guide

Income and Substitution Effect Focused Study Guide

Key Idea

  • Core Concept: A price change leads to two simultaneous effects:

    • Change in the slope (substitution effect)

    • Change in purchasing power (income effect)

Essential Definitions

Substitution Effect (SE)
  • Definition:

    • Caused by a change in relative prices, also interpreted as a slope change.

    • Analysis holds utility constant.

    • Implication: Consumers will substitute towards the cheaper good.

  • Translation:

    • “Price ratio changed” = Substitution Effect (SE)

    • “Slope changed” = Substitution Effect (SE)

Income Effect (IE)
  • Definition:

    • Caused by a change in purchasing power.

    • Analysis holds relative prices constant.

    • Implication: Consumers feel richer or poorer as purchasing power changes.

  • Translation:

    • “Can afford more” = Income Effect (IE)

    • “Budget set expanded” = Income Effect (IE)

Total Effect (TE)
  • Definition:

    • The total effect on quantity demanded resulting from a price change can be expressed as:

    • TE = SE + IE

Specific Corrections

  • Errors to Avoid:

    • Substitution Effect (SE) is defined solely by relative price changes.

    • Income Effect (IE) is solely defined by purchasing power changes.

    • Do not include preferences or quality changes as factors.

  • Understanding Changes:

    • Correct answer regarding price changes: Slope changes + Purchasing power changes

    • Slope of the budget line: Reflects relative price, calculated as rac{P_x}{P_y}.

    • Implication: Slope change = Substitution Effect

Graphical Representation

  • Graph Logic:

    • When the price of good X decreases:

    • Budget line rotates outward.

    • Pivot point: other good’s intercept.

    • Movement Sequence:

    • A → B = Substitution Effect

    • B → C = Income Effect

    • A → C = Total Effect

Direction Rules

  • Price of Good X Decreases:

    • Substitution Effect:

    • Always results in more of good X (because consumers move towards the cheaper good).

    • Income Effect:

    • Depends on type of good:

      • Normal good → more of good X

      • Inferior good → less of good X

Exam Strategies

  • **Typical Questions:

    • “What does a slope change represent?”

    • “What happens when relative prices change?”

    • “Which component isolates purchasing power?”

  • Key Recognitions for Questions:

    • If you see terms like:

    • “Relative price”, “slope”, “tradeoff” → Result in Substitution Effect

    • “Purchasing power”, “feels richer/poorer”, “afford more” → Result in Income Effect

Memorization Rule

  • Key Relationships to Remember:

    • Slope = Substitution Effect

    • Wealth = Income Effect

    • Total Effect = Both

  • Improved Understanding:

    • Previous confusion on wording addressed by linking language directly to concepts.

    • Recognizing terms guides towards the correct effect confidently.

Important Correction on Cause of Income Effect

  • Clarification:

    • Purchasing power changes cause the Income Effect, not the reverse.

    • Understanding Sequence:

    • Price changes → Purchasing power changes → Income Effect is the resultant response.

Effects of Price Changes

  • When Price of Good X Falls:

    • Substitution Effect:

    • More of good X (because relative price has changed)

    • Income Effect:

    • Dependent on good:

      • Normal goods → more of good X

      • Inferior goods → less of good X

    • Total Effect (TE):

    • Equivalent to the sum of SE + IE.

  • Correct Wording for Exams:

    • Avoid saying “we move toward more of X”.

    • Use phrasing such as “because X is relatively cheaper.”

Price Increase Effects

  • When Price of Good X Rises:

    • Substitution Effect:

    • Results in less of good X (always down).

    • Income Effect:

    • For Normal goods → down (decreased consumption)

    • For Inferior goods → up (increased consumption)

Uncertainty Focused Study Guide

Common Mistakes

  • Test Issues:

    • Missing Expected Value (EV) calculations.

    • Missing Expected Utility (EU) calculations.

    • Missing risk classification.

    • Failure in comparison logic.

    • Indicating a lack of a systematic approach.

Key Concepts

Expected Value (EV)
  • Definition:

    • Represents what one could expect on average from outcomes monetarily.

  • Formula:

    • EV = p_1x_1 + p_2x_2 + …

    • This provides the average dollar outcome based on probabilities and outcomes.

Expected Utility (EU)
  • Definition:

    • Illustrates satisfaction derived from those outcomes instead of just monetary value.

  • Calculation Steps:

    1. Apply utility first to outcomes.

    2. Multiply by respective probabilities.

  • Formula:

    • EU = p_1 imes U(x_1) + p_2 imes U(x_2)

Quick Example: Lottery Calculations

  • Example Lottery Scenario:

    • 50% chance of winning 10, 50% chance of winning 30:

    • Expected Value (EV) Calculation:

      • EV = 0.5(10) + 0.5(30) = 20

    • This provides the average monetary outcome.

    • Expected Utility (EU) Calculation (Assuming Utility U(x) = √x):

      • EU = 0.5 ext{(} ext{√}10 ext{)} + 0.5 ext{(} ext{√}30 ext{)}

One-Line Rules to Remember

  • Key Formulas:

    • EV = ext{Probability} imes ext{Money}

    • EU = ext{Probability} imes ext{Utility}

Risk Types Classification

  • Types of Risk:

  • Risk-Averse:

    • Prefers certainty, seeks guaranteed outcomes, characterized as concave utility function.

    • Mathematical Relationship: U(EV) > EU

  • Risk-Neutral:

    • Linear preferences, indifferent to risk, only concerned with the expected value, where U(EV) = EU

  • Risk-Loving:

    • Prefers risky options, demonstrated by a convex utility function, characterized as: EU > U(EV)

  • Utility Functions for Types:

    • Risk-Averse: U(x) = ext{√}x (concave)

    • Risk-Neutral: U(x) = x (linear)

    • Risk-Loving: U(x) = x^{2} (convex)

Algorithm for Lotteries

  • Step-by-Step Process:

  1. Identify probabilities and outcomes (e.g., 0.5 chance of 10, 0.5 chance of 30).

  2. For Expected Value (EV):

    • EV = p_1x_1 + p_2x_2

  3. For Expected Utility (EU):

    • EU = p_1U(x_1) + p_2U(x_2)

  4. When comparing:

    • Calculate the EU of the lottery

    • Calculate the U of a certain amount

    • Compare them for decision making.

Final Contrast Example

  • Example Lottery:

    • 50% chance of 0, 50% chance of 100, with a utility function of U(x) = √x:

  1. Apply utility:

    • U(0) = 0

    • U(100) = 10

  2. Compute Expected Utility (EU):

    • EU = 0.5(0) + 0.5(10) = 5

  3. Compare to certainty:

    • Calculate Expected Value (EV):

      • EV = 50

    • Calculate Utility of Certain Amount:

      • U(50) ≈ 7.07

  4. Conclusion: Since 7.07 > 5, this indicates risk-averse behavior in decision making.