DP13071 Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods
|Author(s):||Christian Bayer, Ralph Luetticke|
|Publication Date:||July 2018|
|Date Revised:||January 2020|
|Keyword(s):||Heterogeneous Agent Models, incomplete markets, linearization, Numerical Methods|
|Programme Areas:||Monetary Economics and Fluctuations|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=13071|
This paper describes a method for solving heterogeneous agent models with aggregate risk and many idiosyncratic states formulated in discrete time. It extends the method proposed by Reiter (2009) and complements recent work by Ahn et al. (2017) on how to solve such models in continuous time. We suggest first solving for the stationary equilibrium of the model without aggregate risk. We then write the functionals that describe the dynamic equilibrium as sparse expansions around their stationary equilibrium counterparts. Finally we use the perturbation method of Schmitt-GrohÃ© and Uribe (2004) to approximate the aggregate dynamics of the model.