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Real Business Cycle (RBC) and Dynamic Stochastic General Equilibrium (DSGE) methods have become essential components of …
Persistent link: https://www.econbiz.de/10005481440
El trabajo utiliza un modelo DSGE de ciclos reales con dos sectores productivos, uno transabley uno no transable, para …
Persistent link: https://www.econbiz.de/10008914326
Prevailing trade theory is a neglected stepchild of economics. Micro rejects the sole reason for trade’s occurrence. It … declares zero profit in equilibrium. Monetary theory and macroeconomics dismiss concerns of trade financing. They assert that … money has nothing to do with traded output, but everything to do with storing value. But now a new trade theory takes over …
Persistent link: https://www.econbiz.de/10005408069
In this paper we develop a dynamic stochastic general equilibrium (DSGE) model for an open economy, and estimate it on … paper offers: i) a theoretical development of the standard DSGE model into an open economy setting, ii) Bayesian estimation …
Persistent link: https://www.econbiz.de/10005649043
policy. This paper is a tribute to the philosopher Mises, who focused on human acting and who enriched the monetary theory … with an analytical perspective and deductive models, creating the so called Misesian theory. What is Mises contribution to … rule? And most important how does the business cycle theory influence money? …
Persistent link: https://www.econbiz.de/10010838964
We address the problem of parameter estimation for diffusion driven stochastic volatility models through Markov chain … change transformations is also presented. The algorithm is fast to implement and applies to models with stochastic volatility …
Persistent link: https://www.econbiz.de/10005616851
In this paper, we show how to estimate the parameters of stochastic volatility models using Bayesian estimation and … the Stochastic Volatility (SV) model, basic and with leverage. …
Persistent link: https://www.econbiz.de/10010765774
We introduce a new method for drawing state variables in Gaussian state space models from their conditional distribution given parameters and observations. Unlike standard methods, our method does not involve Kalman filtering. We show that for some important cases, our method is computationally...
Persistent link: https://www.econbiz.de/10005273208
Suppose we wish to carry out likelihood based inference but we solely have an unbiased simulation based estimator of the likelihood. We note that unbiasedness is enough when the estimated likelihood is used inside a Metropolis-Hastings algorithm. This result has recently been intro- duced in...
Persistent link: https://www.econbiz.de/10005730008
structural vector autoregression (TVP-VAR) with stochastic volatility, in both methodology and empirical applications. The TVP …-VAR model, combined with stochastic volatility, enables us to capture possible changes in underlying structure of the economy in … stochastic volatility into the TVP estimation significantly improves estimation performance. The Markov chain Monte Carlo method …
Persistent link: https://www.econbiz.de/10009364154