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Hicksian Demand (Compensated Demand)

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Consumer Duality: Expenditure and Indirect Utility FunctionsThe Expenditure Function→→Slutsky Equation and Price Effect DecompositionThe Slutsky Equation
consumer-theory demand price-effect

Core Idea

Hicksian demand h(p, u) is the quantity demanded that minimizes expenditure for a given utility level. Unlike Marshallian demand, Hicksian demand eliminates the income effect: it shows only the substitution effect of price changes. By Shephard's lemma, h(p, u) = ∇_p e(p, u), directly recovering demand from the expenditure function.

How It's Best Learned

Start with graphical representation showing constant utility. Derive Hicksian demands for specific utility functions. Compare slopes of Hicksian vs. Marshallian demands to understand income effects.

Common Misconceptions

Mixing up Hicksian and Marshallian demand. Thinking Hicksian demand is always downward-sloping (it is, but Marshallian may not be). Not seeing why income is held constant in Hicksian demand.

Explainer

From your study of the expenditure function, you know that e(p, u) gives the minimum cost of achieving utility level u at prices p. Hicksian demand — also called compensated demand — is the demand function that falls out of that same minimization problem. It answers: if a consumer must achieve exactly utility u at prices p, what bundle does she choose? The quantities h(p, u) that solve the expenditure minimization problem are the Hicksian demands.

The connection to the expenditure function is made precise by Shephard's lemma: h_i(p, u) = ∂e(p, u)/∂p_i. Differentiating the expenditure function with respect to the price of good i recovers the Hicksian demand for good i. This is an application of the envelope theorem — at the optimum, the effect of a small price increase on minimized expenditure equals the quantity of that good being consumed, because the consumer is already optimizing and adjusts her bundle only at the margin.

The key difference between Hicksian and Marshallian demand is what is held constant. Marshallian demand x(p, m) holds income m fixed and lets utility adjust when prices change. Hicksian demand h(p, u) holds utility u fixed and lets the required expenditure adjust. This distinction isolates the pure substitution effect: when a price rises, the consumer substitutes away from the more expensive good, holding her standard of living constant. Hicksian demand curves always slope downward because the substitution effect always works against a price increase — this follows from the concavity of the expenditure function in prices. Marshallian demand can occasionally slope upward (Giffen goods) because it bundles together the substitution effect with the income effect, and a sufficiently large negative income effect on an inferior good can dominate.

Understanding this decomposition is essential for what comes next. The Slutsky equation formalizes the relationship: ∂x_i/∂p_j = ∂h_i/∂p_j − x_j · ∂x_i/∂m. The total effect of a price change on Marshallian demand equals the substitution effect (captured by Hicksian demand) minus the income effect. Hicksian demand provides the clean, utility-constant benchmark that makes this decomposition possible. Without it, you cannot separate the two channels through which price changes affect consumption, and you cannot determine whether observed demand responses reflect genuine substitution patterns or merely the mechanical effect of price changes on purchasing power.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Literal Equations → Slope-Intercept Form → Point-Slope Form → Writing Linear Equations → Parallel and Perpendicular Line Slopes → Graphing Linear Equations → Piecewise Functions → One-Sided Limits → Continuity Definition → Limits and Continuity in Multiple Variables → Functions of Several Variables → Continuity in Multiple Variables → Partial Derivatives: Definition and Computation → Differentiability in Multiple Variables → Differentiability in Multivariable Functions → Total Differential and Linear Approximation → Chain Rule for Multivariable Functions → Implicit Differentiation → Related Rates → Optimization Problems → Critical Points of Multivariable Functions → Critical Points and Classification of Extrema → Second Partial Test for Local Extrema (Hessian) → The Hessian Matrix and Second Derivative Test → Unconstrained Optimization: Finding Extrema → Optimization in Multiple Variables → Lagrange Multipliers → Constrained Optimization and Lagrange Multipliers → Utility and Preferences → Marginal Utility and Diminishing Returns → Budget Constraint → Indifference Curves → Consumer Optimum → Consumer Duality: Expenditure and Indirect Utility Functions → Hicksian Demand (Compensated Demand)

Longest path: 96 steps · 458 total prerequisite topics

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