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Nominal Rigidities and Sticky Prices

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Monopolistic Competition→→Calvo Pricing ModelShort-Run Equilibrium with Sticky Prices
price-adjustment frictions monetary-non-neutrality

Core Idea

Nominal price rigidities—including explicit contracts, menu costs, information constraints, and coordination frictions—prevent prices from adjusting instantly to changes in demand or costs. When prices are sticky, monetary shocks cannot be fully offset by proportional price increases, allowing money to have real short-run effects on output and employment. Understanding the sources, magnitude, and duration of price adjustment frictions is central to New Keynesian models and monetary policy analysis.

Explainer

From your study of monopolistic competition, you know that firms set their own prices rather than taking a market price as given. Each firm faces a downward-sloping demand curve and chooses the price that maximizes its profit, balancing higher margins against lower sales volume. This market structure is the prerequisite for understanding sticky prices because it explains why firms have pricing discretion in the first place—and therefore why the decision of when and how to change prices becomes economically meaningful.

In a perfectly competitive market, prices adjust automatically to clear supply and demand; no individual firm makes a pricing decision. But monopolistically competitive firms must actively decide to change their prices, and this decision involves costs. Menu costs are the most concrete example: the literal expense of printing new catalogs, updating websites, reprogramming registers, and renegotiating contracts. These costs are typically small for any individual price change—perhaps a few hundred dollars for a restaurant reprinting its menu. The puzzle is how such small costs can have large macroeconomic consequences. The answer lies in a key insight from Mankiw (1985) and Akerlof and Yellen (1985): near the profit-maximizing price, the firm's profit function is very flat. A small deviation from the optimal price costs the firm almost nothing in lost profit (second-order loss), so even a tiny menu cost can make it rational to leave the price unchanged. But the macroeconomic consequences of unchanged prices are first-order—when many firms fail to adjust prices after a monetary shock, aggregate demand changes translate into output changes rather than being absorbed by price movements.

Beyond menu costs, several other mechanisms generate nominal rigidity. Contracts fix prices for specified periods—wages are typically renegotiated annually, rental agreements lock in rates for years, and supply contracts specify prices for months. Information frictions mean firms may not immediately observe changes in demand or costs, and even when they do, they face uncertainty about whether changes are temporary or permanent. Coordination failures arise because each firm's optimal price depends on what other firms charge; if a firm expects competitors to hold prices steady, it may rationally do the same, creating a self-reinforcing equilibrium of price stickiness. These mechanisms interact and amplify one another: a firm facing menu costs, contractual obligations, and uncertainty about competitor behavior has strong reasons to delay price adjustment.

The macroeconomic consequence of sticky prices is that monetary policy has real effects in the short run. If the central bank increases the money supply and prices were perfectly flexible, all prices would rise proportionally and nothing real would change—monetary neutrality would hold. But with sticky prices, many firms leave their prices unchanged in the short run. The increase in nominal spending translates into higher real demand at prevailing prices, firms respond by producing more, and output and employment rise. This is the core mechanism of New Keynesian economics: nominal rigidities provide the friction that allows monetary policy to affect real economic activity. The duration and magnitude of these real effects depend on how quickly and how completely prices eventually adjust—questions that the Calvo pricing model and its alternatives formalize by specifying the stochastic process governing price changes.

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 → Profit Maximization → Perfect Competition → Shutdown and Breakeven Decisions → Monopoly → Monopolistic Competition → Nominal Rigidities and Sticky Prices

Longest path: 97 steps · 464 total prerequisite topics

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