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The Random Walk Hypothesis of Consumption (Hall)

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Consumption Smoothing and Permanent Income HypothesisEuler Equation and Intertemporal Substitution+2 more→→Precautionary Saving and Prudence
consumption permanent income hypothesis random walk Euler equation excess sensitivity rational expectations

Core Idea

Robert Hall showed in 1978 that the permanent income hypothesis with rational expectations implies that consumption changes should be unpredictable. With quadratic utility and an interest rate equal to the rate of time preference, the consumption Euler equation becomes E_t[C_{t+1}] = C_t, so consumption follows a martingale, loosely called a random walk. Consumption moves only when news arrives that changes expected lifetime resources. The prediction can be tested by checking whether information known in advance, such as lagged income, helps predict consumption growth.

How It's Best Learned

Derive the result in three lines from the Euler equation with quadratic utility before discussing evidence. Then simulate a consumer who receives an anticipated raise and one who receives a surprise raise, and plot both consumption paths. The point that anticipated income changes should not move consumption when they arrive becomes concrete, and it sets up the excess-sensitivity tests.

Common Misconceptions

Explainer

You know the permanent income hypothesis: consumption depends on expected lifetime resources, not on current income. Hall asked what this implies about how consumption changes over time. His answer, published in 1978, is that the changes should be unpredictable.

Start with the consumption Euler equation for a consumer who can borrow and save at real rate r and discounts the future at rate ρ: u′(C_t) = [(1 + r)/(1 + ρ)] E_t[u′(C_{t+1})]. Assume r = ρ, so the bracket equals one. Assume quadratic utility, u(C) = C − (a/2)C², so marginal utility is u′(C) = 1 − aC, a linear function. Substituting gives 1 − aC_t = 1 − aE_t[C_{t+1}], which simplifies to E_t[C_{t+1}] = C_t. Today's consumption is the best forecast of tomorrow's. Write C_{t+1} = C_t + e_{t+1}, where e_{t+1} is a forecast error with mean zero given anything known at time t. In probability language, consumption is a martingale; economists often say random walk.

The intuition is the same as in efficient-markets theory. If the consumer could predict that consumption would rise next year, that would mean she expects more resources than her current plan uses, and she would raise consumption now. Optimal planning removes every predictable change. What remains is the response to news. A surprise promotion moves consumption at once. A raise announced two years ahead moves consumption on the day of the announcement, and not when the higher paychecks start.

This gives a clean test. Regress consumption growth on variables dated t or earlier. Under the hypothesis, none of them should matter. Hall found that lagged income added little predictive power, which supported the theory, though lagged stock prices had some. Later work found more trouble. Marjorie Flavin in 1981 reported excess sensitivity, meaning consumption responds to predictable income changes. John Campbell and Gregory Mankiw in 1989 estimated that roughly half of income may go to households who consume their current income rather than smoothing.

Two departures explain much of this evidence. Some households face borrowing limits and cannot raise consumption ahead of an expected raise. And when marginal utility is convex rather than linear as under quadratic utility, uncertainty itself changes saving, which the topic of precautionary saving takes up. Hall's result remains the benchmark these models are measured against.

Practice Questions 4 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 → Combining Small Groups Within 5 → Number Bonds Within 5 → Number Bonds to 10 → Tens and Ones Place Value → Reading and Writing Three-Digit Numbers → Comparing Three-Digit Numbers → Comparing and Ordering Three-Digit Quantities → Comparing and Ordering Whole Numbers → Comparing Numbers 1 to 20 → Ordering Numbers to 20 → Number Line 0 to 20 → 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 → Opposites and Additive Inverses → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Multiplying Binomials (FOIL) → Factoring Trinomials → Factoring Completely → Introduction to Rational Expressions → Simplifying Radical Expressions → Segments and Distance → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Similar Right Triangles and the Geometric Mean → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Special Right Triangles: 30-60-90 → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Work Done by a Force → Kinetic Energy → Elastic Collisions → Inelastic Collisions → Coefficient of Restitution → Collision Analysis and Real-World Applications → Two-Body Collisions in the Center-of-Mass Frame → Reduced Mass and Two-Body Problems → Kinematics in Two Dimensions → Projectile Motion → Circular Motion: Kinematics → Simple Harmonic Motion → Introduction to Differential Equations → Bellman Equation and Dynamic Programming → Euler Equation and Intertemporal Consumption Choice → Consumption Smoothing and Permanent Income Hypothesis → The Random Walk Hypothesis of Consumption (Hall)

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