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Phillips Curve Derivation in New Keynesian Models

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Calvo Pricing and Sticky PricesInflation Expectations and Expectation Formation+2 more→→DSGE Models: Dynamic Stochastic General EquilibriumInflation-Unemployment Tradeoff and Modern Phillips Curve
phillips-curve inflation new-keynesian

Core Idea

The New Keynesian Phillips curve shows that inflation depends on expected future inflation, the output gap, and marginal costs. Unlike the traditional Phillips curve (which posits a stable unemployment-inflation tradeoff), the NKPC is forward-looking and depends on real variables. This microfounded derivation from Calvo pricing explains why monetary policy affects inflation through demand pressure on costs, not backward-looking wage adjustment, and why supply shocks can cause stagflation.

Explainer

From the traditional Phillips curve, you know the empirical observation that inflation and unemployment tend to move inversely — tight labor markets push wages and prices up. From Calvo pricing, you know that firms do not adjust prices continuously; instead, each period only a random fraction of firms get the opportunity to reset their prices, while the rest are stuck with their existing prices. The New Keynesian Phillips Curve (NKPC) derives the inflation-output relationship from these microfoundations, producing a relationship that is fundamentally forward-looking rather than backward-looking.

The derivation begins with a firm that gets the chance to reset its price. Because it knows it may be stuck with this price for several periods (the Calvo lottery may not select it again soon), it does not simply set price equal to current marginal cost. Instead, it sets a price that is optimal *on average* over the expected duration it will be locked in — a weighted average of current and expected future marginal costs. When you aggregate across all firms (some resetting, most stuck at old prices), the overall price level evolves as a blend of newly set prices and inherited prices. The resulting equation for inflation takes a remarkably clean form: π_t = βE_t[π_{t+1}] + κx_t, where π_t is current inflation, E_t[π_{t+1}] is expected future inflation, x_t is the output gap (or equivalently, real marginal cost), β is the discount factor, and κ is a slope parameter that depends on how frequently firms reset prices and how sensitive marginal costs are to output.

The forward-looking nature of this equation is its most important feature and its sharpest departure from the traditional Phillips curve. In the old framework, inflation was driven by past inflation through adaptive expectations — inflation had inertia because people expected tomorrow's inflation to look like yesterday's. In the NKPC, inflation today depends on what firms expect inflation to be *tomorrow*. If a central bank credibly commits to lowering future inflation, firms that reset prices today will choose lower prices in anticipation, and current inflation falls — even before the policy has fully taken effect. This is why central bank credibility and communication matter enormously in the New Keynesian framework: expectations of future policy feed directly into today's pricing decisions.

The NKPC also clarifies why supply shocks cause stagflation — the simultaneous appearance of rising inflation and falling output that the traditional Phillips curve could not accommodate. An adverse supply shock (like an oil price spike) raises marginal costs directly, pushing inflation up through the κx_t term. But because the shock also reduces potential output, the output gap may turn negative even as inflation rises. The traditional Phillips curve, which linked inflation only to the unemployment gap, could not separate demand-driven from cost-driven inflation. The NKPC, by grounding inflation in real marginal costs, naturally accounts for both channels. This microfounded structure is what makes the NKPC the inflation equation at the heart of modern DSGE models used by central banks worldwide.

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 → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → 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 → Center of Mass → Conservation of Linear Momentum → 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 → Solow Growth Model → Capital Accumulation and the Golden Rule → Investment Demand and Capital Formation → Aggregate Demand → The AS-AD Model → Business Cycles → Recession Definition, Measurement, and Dating → The Output Gap → The Output Gap and Potential Output → Phillips Curve Derivation in New Keynesian Models

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