A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

Euler Equation and Intertemporal Substitution

Research Depth 91 in the knowledge graph ☐ I know this ☆ Set as goal
36topics build on this
451prerequisites beneath it
See this on the map →
Household Optimization and Consumption-Savings DecisionsLagrange Multipliers+3 more→→Asset Pricing and Macroeconomic ImplicationsNew Keynesian Economics Framework+1 more
euler-equation consumption substitution

Core Idea

The Euler equation is the first-order condition for optimal consumption over time: the marginal rate of substitution between current and future consumption must equal the intertemporal price (1 plus the real interest rate). This equation shows that consumption growth is determined by the real interest rate and the household's willingness to substitute consumption across time periods. The Euler equation is the backbone of modern macro models, linking macroeconomic outcomes to household preferences and financial conditions.

Explainer

From your work on household optimization and Lagrange multipliers, you know how to set up a constrained maximization problem and derive first-order conditions. The Euler equation is what you get when you apply that machinery to a household choosing how much to consume today versus tomorrow, subject to a budget constraint that allows saving and borrowing at the real interest rate r. The household maximizes lifetime utility — say, u(c₁) + β·u(c₂) for two periods, where β is the discount factor reflecting impatience — subject to the constraint that the present value of consumption equals the present value of income.

Taking the first-order conditions with respect to consumption in each period and combining them yields the Euler equation: u'(c_t) = β·(1+r)·u'(c_{t+1}). In words, the marginal utility of consuming one more dollar today must equal the discounted marginal utility of saving that dollar, earning interest, and consuming it tomorrow. If the left side were larger — consuming today gives more marginal utility than the best use of the money tomorrow — the household should consume more today and save less. If the right side were larger, the household should save more. At the optimum, the household is indifferent at the margin between consuming now and consuming later, which is exactly what the equation says.

The Euler equation reveals what drives consumption growth. With the common CRRA utility function u(c) = c1-σ/(1-σ), the equation simplifies to c_{t+1}/c_t = [β·(1+r)]1/σ. This says consumption grows when the real interest rate exceeds the household's rate of time preference (embedded in β), and the elasticity of intertemporal substitution (1/σ) controls how responsive consumption growth is to interest rate changes. When σ is small, households willingly shift consumption across time in response to interest rate incentives — they are flexible substituters. When σ is large, households strongly prefer smooth consumption and barely respond to interest rate changes. This single parameter governs how aggressively households tilt their consumption path toward the future when returns to saving are high.

What makes the Euler equation so powerful in macroeconomics is that it holds in every period and under uncertainty (with expectations operators), providing a tight discipline on consumption dynamics without requiring you to solve for the entire consumption path at once. It says nothing directly about the level of consumption — that comes from the budget constraint — but it pins down the rate of change. This is why the Euler equation appears in virtually every modern macro model: the New Keynesian IS curve is a linearized Euler equation, the Ramsey growth model's dynamics are driven by it, and asset pricing models use it to link consumption growth to expected returns. Once you internalize that households optimize at the margin between present and future consumption, the Euler equation becomes the workhorse condition connecting interest rates, patience, risk aversion, and macroeconomic dynamics.

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 → Household Optimization and Consumption-Savings Decisions → Euler Equation and Intertemporal Substitution

Longest path: 92 steps · 451 total prerequisite topics

Prerequisites (5)

Leads To (3)