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How Firms Set Prices and Adjust for Inflation: The Basics of Calvo Pricingby@keynesian
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How Firms Set Prices and Adjust for Inflation: The Basics of Calvo Pricing

by Keynesian TechnologyDecember 6th, 2024
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Calvo pricing introduces nominal rigidity in DSGE models, where firms re-optimize prices based on a stochastic process, influencing inflation persistence and marginal costs.
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Abstract

1 Introduction

2 Mathematical Arguments

3 Outline and Preview

4 Calvo Framework and 4.1 Household’s Problem

4.2 Preferences

4.3 Household Equilibrium Conditions

4.4 Price-Setting Problem

4.5 Nominal Equilibrium Conditions

4.6 Real Equilibrium Conditions and 4.7 Shocks

4.8 Recursive Equilibrium

5 Existing Solutions

5.1 Singular Phillips Curve

5.2 Persistence and Policy Puzzles

5.3 Two Comparison Models

5.4 Lucas Critique

6 Stochastic Equilibrium and 6.1 Ergodic Theory and Random Dynamical Systems

6.2 Equilibrium Construction

6.3 Literature Comparison

6.4 Equilibrium Analysis

7 General Linearized Phillips Curve

7.1 Slope Coefficients

7.2 Error Coefficients

8 Existence Results and 8.1 Main Results

8.2 Key Proofs

8.3 Discussion

9 Bifurcation Analysis

9.1 Analytic Aspects

9.2 Algebraic Aspects (I) Singularities and Covers

9.3 Algebraic Aspects (II) Homology

9.4 Algebraic Aspects (III) Schemes

9.5 Wider Economic Interpretations

10 Econometric and Theoretical Implications and 10.1 Identification and Trade-offs

10.2 Econometric Duality

10.3 Coefficient Properties

10.4 Microeconomic Interpretation

11 Policy Rule

12 Conclusions and References


Appendices

A Proof of Theorem 2 and A.1 Proof of Part (i)

A.2 Behaviour of ∆

A.3 Proof Part (iii)

B Proofs from Section 4 and B.1 Individual Product Demand (4.2)

B.2 Flexible Price Equilibrium and ZINSS (4.4)

B.3 Price Dispersion (4.5)

B.4 Cost Minimization (4.6) and (10.4)

B.5 Consolidation (4.8)

C Proofs from Section 5, and C.1 Puzzles, Policy and Persistence

C.2 Extending No Persistence

D Stochastic Equilibrium and D.1 Non-Stochastic Equilibrium

D.2 Profits and Long-Run Growth

E Slopes and Eigenvalues and E.1 Slope Coefficients

E.2 Linearized DSGE Solution

E.3 Eigenvalue Conditions

E.4 Rouche’s Theorem Conditions

F Abstract Algebra and F.1 Homology Groups

F.2 Basic Categories

F.3 De Rham Cohomology

F.4 Marginal Costs and Inflation

G Further Keynesian Models and G.1 Taylor Pricing

G.2 Calvo Wage Phillips Curve

G.3 Unconventional Policy Settings

H Empirical Robustness and H.1 Parameter Selection

H.2 Phillips Curve

I Additional Evidence and I.1 Other Structural Parameters

I.2 Lucas Critique

I.3 Trend Inflation Volatility

4.4 Price-Setting Problem

Calvo [1983] pricing is the most popular approach to inject nominal rigidity into a DSGE model. Re-optimization is governed by a stochastic process common across firms. With probability 1 − α each firm is free to reset its price (at no cost), whilst with probability α it keeps its price fixed and meets demand at its existing price. Firms reset their prices to maximize the expected present value of profits through the lifetime of the price as follows:



subject to the individual demand (17). Here



represents the real stochastic discount factor (SDF). It is the risk-adjusted present value of future consumption k periods ahead which depends on the gross rate of inflation



It states that optimal pricing sets a weighted stream of marginal revenues equal to a weighted stream of marginal costs, which in turn implies a similar relationship between (real) price and marginal costs



The persistence of the price level depends on α the degree of price rigidity. The reset price can be expressed as



where



both numerator and denominator have recursive forms



The first elementary result settles the connection between the relative reset price and the rate of inflation, central to the interpretation of the bifurcation.



Proof. Using (26) establishes that




The result follows from taking and signing the derivative


Author:

(1) David Staines.


This paper is available on arxiv under CC 4.0 license.