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Hicksian (Compensated) Demand

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Indifference CurvesThe Slutsky Equation+1 more→→Duality: 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 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) → The Slutsky Equation → Hicksian (Compensated) Demand

Longest path: 98 steps · 473 total prerequisite topics

Prerequisites (3)

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