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 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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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ISSN: | 1759-7331 1759-7323 1759-7331 |
DOI: | 10.3982/QE452 |