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Aggregate Demand: The Expenditure Approach

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Components of GDP: C + I + G + NXInvestment Demand and Interest Rate Sensitivity+2 moreDemand Shocks: Effects on Output and InflationShort-Run Equilibrium with Sticky Prices
aggregate-demand expenditure multiplier consumption investment

Core Idea

The expenditure approach to aggregate demand emphasizes total spending: AD = C + I + G + (X − M). Demand shifts amplify through the multiplier, though crowding out and supply constraints attenuate effects.

How It's Best Learned

Build a simple Keynesian model: C = a + b*Y, I = I_0 − d*r, G and X−M exogenous. Solve for equilibrium Y. Show multiplier: each unit autonomous spending raises Y by 1/(1−b).

Common Misconceptions

Explainer

From your work on the Keynesian consumption function, you know that household consumption depends on income: C = a + bY, where b is the marginal propensity to consume (MPC) — the fraction of each additional dollar of income that households spend rather than save. From GDP components, you know that total output equals total expenditure. The expenditure approach to aggregate demand combines these ideas: total spending in the economy is AD = C + I + G + (X − M), and in equilibrium, actual output adjusts until it equals this planned expenditure. The central insight is that spending creates income, and income generates further spending — a circular flow that amplifies initial disturbances.

The multiplier is the formalization of this amplification. Suppose government spending rises by $100 billion. This directly adds $100bn to income. The recipients save fraction (1 − b) and spend fraction b, adding $100b × b to income. Those recipients do the same, adding $100b × b² — and so on. Summing the geometric series gives total income change = $100bn × 1/(1 − b). If b = 0.8, the multiplier is 5: a $100bn spending increase eventually raises GDP by $500bn. The logic is symmetric on the downside — a fall in investment or exports triggers a contractionary multiplier. This is the mechanism behind fiscal policy effectiveness in Keynesian models: government spending is not just worth $1, it is worth the multiplier times $1.

Real-world multipliers are substantially smaller than this simple formula suggests, for several reasons your model needs to accommodate. First, crowding out: government borrowing to finance the spending raises interest rates (or expectations of future taxes), which reduces private investment I. The investment component falls even as G rises, partially offsetting the stimulus. Second, if the economy is at or near full capacity, the output response is attenuated and the adjustment is absorbed partly by prices rather than output. Third, an open economy leakage: some of the extra income is spent on imports rather than domestic goods, so the multiplier is smaller as the import propensity rises. Fourth, monetary policy response: if the central bank raises rates to prevent inflation, the interest-sensitive components of spending (investment, housing) contract, shrinking the effective multiplier.

The multiplier also differs across types of spending. Transfers (like tax cuts or unemployment benefits) pass through households first, so only fraction b enters the spending stream immediately — the multiplier is b/(1−b). Direct government purchases enter GDP at full value immediately — multiplier is 1/(1−b). This is why economists often argue that direct government expenditure has a larger first-round impact than equivalent tax cuts, though both create long-run income effects of similar magnitude. The time dimension matters too: the full multiplier takes quarters to years to materialize, while the initial impact is just the direct effect. Real-time fiscal multiplier estimates range widely, from near zero in full-employment economies with active monetary policy to above 1.5 in deep recessions when the zero lower bound on interest rates prevents the central bank from offsetting the stimulus.

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 ConstraintThe Consumption FunctionThe Marginal Propensity to ConsumeAggregate Demand: The Expenditure Approach

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