DP8177 Second Order Approximation of Dynamic Models with Time-Varying Risk
|Author(s):||Pierpaolo Benigno, Gianluca Benigno, Salvatore Nisticò|
|Publication Date:||January 2011|
|Keyword(s):||second order approximation, stochastic volatility, uncertainty|
|Programme Areas:||International Macroeconomics|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=8177|
This paper provides first and second-order approximation methods for the solution of non-linear dynamic stochastic models in which the exogenous state variables follow conditionally-linear stochastic processes displaying time-varying risk. The first-order approximation is consistent with a conditionally-linear model in which risk is still time-varying but has no distinct role - separated from the primitive stochastic disturbances- in influencing the endogenous variables. The second-order approximation of the solution, instead, is sufficient to get this role. Moreover, risk premia, evaluated using only a first-order approximation of the solution, will be also time varying.