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What Eigenvalue Conditions Mean for Economic Modelsby@keynesian

What Eigenvalue Conditions Mean for Economic Models

by Keynesian TechnologyDecember 11th, 2024
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This part derives the two eigenvalue polynomials, first by addressing the simplest limiting case and then moving to the general characteristic equation. The process involves working with determinants, expanding matrices, and applying the ZINSS vanishing condition to reach the expression in Theorem 9.
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Author:

(1) David Staines.

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

E.3 Eigenvalue Conditions

This last part contains derivations of the two eigenvalue polynomials in the text, starting with the simplest limiting case and moving onto the general.


E.3.1 √ ε Characteristic Equation


Abstracting from the errors, the system can be written as follows



The characteristic polynomial comes from the following determinant equation



expressing in terms of minors gives



expanding out yields



then a simple rearrangement gives the expression in the text.


E.3.2 General Characteristic Equation


Start from the characteristic matrix



where I have reordered the variables (ˆπt, yˆt, ∆ˆ t, πˆt−1) ′ for convenience, substitution yields



expanding out the matrices gives



collecting terms implies the polynomial



where perhaps the most challenging step is the expansion



substituting in the ZINSS vanishing condition (138) yields the expression in Theorem 9.


This paper is available on arxiv under CC 4.0 license.