An accurate global projection algorithm is critical for quantifying the basic moments of the Diamond-Mortensen-Pissarides (DMP) model. Loglinearization understates the mean and volatility of unemployment, but overstates the volatility of labor market tightness and the magnitude of the...

An accurate global algorithm is crucial for quantifying the dynamics of the Diamond-Mortensen-Pissarides model. Loglinearization understates the mean and volatility of unemployment, overstates the unemployment-vacancy correlation, and ignores impulse responses that are an order of magnitude...

Search frictions in the labor market help explain the equity premium in the financial market. We embed the Diamond-Mortensen-Pissarides search framework into a dynamic stochastic general equilibrium model with recursive preferences. The model produces a sizeable equity premium of 4.54% per annum...

"Search frictions in the labor market help explain the equity premium in the financial market. We embed the Diamond-Mortensen-Pissarides search framework into a dynamic stochastic general equilibrium model with recursive preferences. The model produces a sizeable equity premium of 4.54% per...

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...