A Simple Algorithm for Solving Ramsey Optimal Policy with Exogenous Forcing Variables

Jean-Bernard Chatelain and Kirsten Ralf

Abstract: This article presents an algorithm that extends Ljungqvist and Sargent's (2012) dynamic Stackelberg game to the case of dynamic stochastic general equilibrium models including forcing variables. Its first step is the solution of the discounted augmented linear quadratic regulator as in Hansen and Sargent (2007). It then computes the optimal initial anchor of "jump" variables such as inflation. We demonstrate that it is of no use to compute non-observable Lagrange multipliers for all periods in order to obtain impulse response functions and welfare. The algorithm presented, however, enables the computation of a history-dependent representation of a Ramsey policy rule that can be implemented by policy makers and estimated within a vector auto-regressive model. The policy instruments depend on the lagged values of the policy instruments and of the private sector's predetermined and "jump" variables. The algorithm is applied on the new-Keynesian Phillips curve as a monetary policy transmission mechanism.

Keywords: Ramsey optimal policy; Stackelberg dynamic game; algorithm; forcing variables; augmented linear quadratic regulator; new-Keynesian Phillips curve (search for similar items in EconPapers)
Date: 2019-11
New Economics Papers: this item is included in nep-cmp
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01588188v2
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

Downloads: (external link)
https://shs.hal.science/halshs-01588188v2/document (application/pdf)

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:psewpa:halshs-01588188

Access Statistics for this paper

More papers in PSE Working Papers from HAL
Bibliographic data for series maintained by CCSD ().