Solving the Diamond–Mortensen–Pissarides model accurately

B-Tier
Journal: Quantitative Economics
Year: 2017
Volume: 8
Issue: 2
Pages: 611-650

Authors (2)

Nicolas Petrosky‐Nadeau (not in RePEc) Lu Zhang (Ohio State University)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

An accurate global projection algorithm is critical for quantifying the basic moments of the Diamond–Mortensen–Pissarides model. Log linearization understates the mean and volatility of unemployment, but overstates the volatility of labor market tightness and the magnitude of the unemployment–vacancy correlation. Log linearization also understates the impulse responses in unemployment in recessions, but overstates the responses in the market tightness in booms. Finally, the second‐order perturbation in logs can induce severe Euler equation errors, which are often much larger than those from log linearization.

Technical Details

RePEc Handle
repec:wly:quante:v:8:y:2017:i:2:p:611-650
Journal Field
General
Author Count
2
Added to Database
2026-01-29