In this paper we outline the Lagrangian constrained optimization method to solve complex problems subject to constraints. Firstly we summarize the Lagrangian constrained optimization routine. Secondly we outline a detailed implementation strategy. Thirdly and finally we provide example and solve...

Yield curves are used to imply the forward rates and discount factors from market tradable instruments and are required to discount future cash flows and evaluate the price of all financial contracts. Not all instruments can be included in the yield curve calibration or fitting process, hence we...

Accounting for the uncertainty in real-time perceptions of the state of the economy is believed to be critical for monetary policy analysis. We investigate this claim through the lens of a New Keynesian model with optimal discretionary policy and partial information. Structural parameters are...

The aim of this paper is to simulate profit expectations as an emergent property using an agent based model. The paper builds upon adaptive expectations, interactive expectations and small world networks, combining them into a single adaptive interactive profit expectations model (AIE)....

Recently, there has been many applications of perturbation methods for solving stochastic dynamic general equilibrium models. However, in standard applications of the perturbation method, the Taylor expansion is always computed around the deterministic steady state. Because of nonlinearities,...

We present an algorithm and software routines for computing nth-order approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state. We apply these routines to investigate the optimal monetary policy with commitment in an optimizing-agent model...

This paper presents a new numerical algorithm for solving Sylvester equation involved in higher order perturbation method used for solution of stochastic dynamic general equilibrium models. The new algorithm is better than methods used so far (esp. very popular doubling algorithm) in terms of...

En este artículo se propone un método numérico para la calibración de un modelode equilibrio general dinámico y estocástico (DSGE). Esencialmente, éste consisteen utilizar un algoritmo híbrido de optimización, primero para encontrar un estadoestacionario del modelo, y luego para...

En este artículo se propone un método numérico para la calibración de un modelo de equilibrio general dinámico y estocástico (dsge). Esencialmente, este consiste en utilizar un algoritmo híbrido de optimización, primero para encontrar un estado estacionario del modelo y luego para...

Recent mainstream monetary policy analysis focuses on rational expectation solutions that are uniquely stable. A number of recent studies have examined the question of whether typical New Keynesian (NK) models, with policy rules that satisfy the Taylor principle, also exhibit solutions with...