Solving the Diamond-Mortensen-Pissarides model accurately

An accurate global projection algorithm is critical for quantifying the basic moments of the Diamond-Mortensen-Pissarides model. Log linearization under- states the mean and volatility of unemployment, but overstates the volatility of labor market tightness and the magnitude of the unemployment-vaca...

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Veröffentlicht in:Quantitative economics 2017-07, Vol.8 (2), p.611-650
Hauptverfasser: Petrosky-Nadeau, Nicolas, Zhang, Lu
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description An accurate global projection algorithm is critical for quantifying the basic moments of the Diamond-Mortensen-Pissarides model. Log linearization under- states 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.
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subjects Business cycles
E24
E32
Econometrics
Economic models
finite elements
J63
J64
Labor market
nonlinear dynamics
parameterized expectations
perturbation
projection
Search frictions
Unemployment
title Solving the Diamond-Mortensen-Pissarides model accurately
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