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Hicksian (Compensated) Demand

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Indifference CurvesThe Slutsky Equation+1 moreDuality: Expenditure and Indirect UtilityIntegrability and Preference Recovery
consumer-theory demand utility

Core Idea

Compensated (Hicksian) demand curves show the quantity demanded as price varies while holding utility constant, unlike ordinary Marshallian demand which allows income effects. The compensated demand curve is always negatively sloped due to the substitution effect and forms the foundation of duality theory in consumer economics.

Explainer

From the Slutsky equation, you already know that the total effect of a price change on quantity demanded can be decomposed into a substitution effect (holding utility constant) and an income effect (the change in purchasing power). The Hicksian, or compensated demand curve, isolates just the substitution effect by asking: how does quantity demanded change with price if we simultaneously adjust the consumer's income to keep them on the *same indifference curve*? This "compensation" strips away the income effect and reveals the pure price-responsiveness of demand.

To visualize this, start with an indifference curve map you already know how to read. When the price of good X falls, the budget line pivots outward, and the consumer moves to a new, higher indifference curve. The Marshallian demand curve records this full move — both the substitution toward the now-cheaper good and the real income gain. The Hicksian demand curve instead imagines sliding the budget line back inward (reducing income) just enough to return the consumer to the *original* indifference curve, then reading off the quantity demanded at the new price ratio. The consumer substitutes toward the cheaper good but is no richer. This is equivalent to asking: "How would this price change affect your choices if I simultaneously taxed away your windfall?"

The critical property of the Hicksian demand curve is that it is always downward-sloping. This follows directly from the Slutsky equation: the substitution effect is always negative (when price rises, the consumer substitutes away from the good), regardless of whether the good is normal or inferior. The Marshallian demand curve can, in theory, slope upward for a Giffen good — where the income effect for an inferior good is so large that it overwhelms the substitution effect. The Hicksian curve cannot exhibit this behavior because it has removed the income effect entirely. This makes compensated demand a cleaner theoretical object for welfare analysis, since its slope has an unambiguous sign.

The practical importance of Hicksian demand is in measuring welfare. When economists calculate compensating variation — the amount of money needed to restore a consumer to their original utility after a price change — they are integrating under the Hicksian demand curve. The area between the old and new price under the Marshallian curve gives consumer surplus, which is only an approximation of true welfare change (because income effects distort it). The Hicksian curve gives the exact welfare measure. For small price changes or goods that are a small share of the budget, the two curves are nearly identical. For large price changes on major expenditure categories — housing, healthcare — the distinction matters and the Hicksian measure is theoretically correct.

Hicksian demand also connects to duality theory, which you will explore further. The expenditure function — the minimum spending needed to reach a given utility level at given prices — is the "dual" of the indirect utility function. Hicksian demand curves are the partial derivatives of the expenditure function with respect to prices (by Shephard's lemma). This duality means that everything you can learn from utility maximization, you can equivalently learn from expenditure minimization, and the Hicksian demand curve is the bridge between the two perspectives.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesLiteral EquationsSlope-Intercept FormPoint-Slope FormWriting Linear EquationsParallel and Perpendicular Line SlopesGraphing Linear EquationsPiecewise FunctionsOne-Sided LimitsContinuity DefinitionLimits and Continuity in Multiple VariablesFunctions of Several VariablesContinuity in Multiple VariablesPartial Derivatives: Definition and ComputationDifferentiability in Multiple VariablesDifferentiability in Multivariable FunctionsTotal Differential and Linear ApproximationChain Rule for Multivariable FunctionsImplicit DifferentiationRelated RatesOptimization ProblemsCritical Points of Multivariable FunctionsCritical Points and Classification of ExtremaSecond Partial Test for Local Extrema (Hessian)The Hessian Matrix and Second Derivative TestUnconstrained Optimization: Finding ExtremaOptimization in Multiple VariablesLagrange MultipliersConstrained Optimization and Lagrange MultipliersUtility and PreferencesMarginal Utility and Diminishing ReturnsBudget ConstraintIndifference CurvesConsumer OptimumConsumer Duality: Expenditure and Indirect Utility FunctionsHicksian Demand (Compensated Demand)The Slutsky EquationHicksian (Compensated) Demand

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