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Activity Number: 570
Type: Contributed
Date/Time: Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
Sponsor: Business and Economic Statistics Section
Abstract - #304789
Title: Computational Methods for Production-Based Asset Pricing Models
Author(s): Eric M. Aldrich*+ and Howard Kung
Companies: Duke University and Duke University
Address: Box 90097, Durham, NC, 27712,
Keywords: Dynamic Equilibrium Economies ; Computational Methods ; Nonlinear Solution Methods ; Recursive Utility ; Asset Pricing
Abstract:

We compare computational methods for DSGE models with Epstein-Zin-Weil utility. In particular, we solve a basic RBC model with (local) perturbations of various orders and a (global) projection method, using Chebyshev basis functions. We show that the model implications for macroeconomic quantities are relatively invariant to choice of solution method, but that the resulting financial moments can vary drastically. The discrepancy is exacerbated for high values of the TFP volatility, and can be attributed to the high degree of curvature of the value function with respect to that parameter. This result disappears when we collapse to either the usual case of linear time aggregation (power utility) or RBC literature values of the TFP volatility, as the curvature of the value function is diminished.


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