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Author: Rossana Merola Publisher: ISBN: Category : Languages : en Pages : 55
Book Description
Episodes of crises that have recently plagued many emerging market economies have lead to a wide-spread questioning of the two traditional generations of models of currency crises. Distressed banking system and adverse credit-markets conditions have been pointed as sources of serious macroeconomics contractions, so introducing these imperfections into standard economic models can help to explain the more recent crises. This paper introduces financial frictions à la Bernanke Gertler and Gilchrist in a two-sector small open economy, suited to analyze an emerging country. The model is estimated on simulated data applying both Bayesian techniques and maximum likelihood method and comparing the results under the two di¤erent estimation procedures. First, I analyze the inĵuence of the prior on the estimation outcomes. Results seems to conijrm that one of the main advantages of Bayesian approach is the ability of providing a framework for evaluating fundamentally mis-specified models. Second, I test the sensitivity of estimation outcomes to the sample size, showing how, for large samples, results under Bayesian estimation converges asymptotically to those obtained applying maximum likelihood. A further extension would be to perform the estimation on historical data for an emerging economy that have recently experienced a financial crisis.
Author: Rossana Merola Publisher: ISBN: Category : Languages : en Pages : 55
Book Description
Episodes of crises that have recently plagued many emerging market economies have lead to a wide-spread questioning of the two traditional generations of models of currency crises. Distressed banking system and adverse credit-markets conditions have been pointed as sources of serious macroeconomics contractions, so introducing these imperfections into standard economic models can help to explain the more recent crises. This paper introduces financial frictions à la Bernanke Gertler and Gilchrist in a two-sector small open economy, suited to analyze an emerging country. The model is estimated on simulated data applying both Bayesian techniques and maximum likelihood method and comparing the results under the two di¤erent estimation procedures. First, I analyze the inĵuence of the prior on the estimation outcomes. Results seems to conijrm that one of the main advantages of Bayesian approach is the ability of providing a framework for evaluating fundamentally mis-specified models. Second, I test the sensitivity of estimation outcomes to the sample size, showing how, for large samples, results under Bayesian estimation converges asymptotically to those obtained applying maximum likelihood. A further extension would be to perform the estimation on historical data for an emerging economy that have recently experienced a financial crisis.
Author: Marzie Taheri Sanjani Publisher: International Monetary Fund ISBN: 1498349366 Category : Business & Economics Languages : en Pages : 33
Book Description
This paper investigates financial frictions in US postwar data to understand the interaction between the real business cycle and the credit market. A Bayesian estimation technique is used to estimate a large Vector Autoregression and New Keynesian models demonstrating how financial shocks can have a large and sluggish impact on the economy. I identify the default risk and the maturity mismatch channels of monetary policy transmission; I further employ a generalized-IRF to establish countercyclicality of risk spreads; and I show that the maturity mismatch shocks produce a stronger impact than the default risk shocks.
Author: Edward P. Herbst Publisher: Princeton University Press ISBN: 0691161089 Category : Business & Economics Languages : en Pages : 295
Book Description
Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.
Author: Publisher: ISBN: Category : Languages : en Pages : 55
Book Description
This paper develops a DSGE model for an open economy and estimates it on euro area data using Bayesian estimation techniques. The model features nominal and real frictions, as well as financial frictions in the form of liquidity constrained households. The model incorporates active monetary and fiscal policy rules (for government consumption, investment, transfers and wage taxes) and can be used to analyse the effectiveness of stabilisation policies. To capture the unit root character of macroeconomic time-series we allow for stochastic trend in TFP, but instead of filtering data prior to estimation, we estimate the model in growth rates and stationary nominal ratios.
Author: Nathan Balke Publisher: Emerald Group Publishing ISBN: 1781903050 Category : Business & Economics Languages : en Pages : 480
Book Description
This volume of Advances in Econometrics contains articles that examine key topics in the modeling and estimation of dynamic stochastic general equilibrium (DSGE) models. Because DSGE models combine micro- and macroeconomic theory with formal econometric modeling and inference, over the past decade they have become an established framework for analy
Author: John Geweke Publisher: Oxford University Press ISBN: 0191618268 Category : Business & Economics Languages : en Pages : 576
Book Description
Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Author: Ernest Pytlarczyk Publisher: VDM Publishing ISBN: 9783836424806 Category : Business & Economics Languages : en Pages : 240
Book Description
Dynamic Stochastic General Equilibrium (DSGE) models have become a standard tool in various fields of economics. This type of models has a superior theoretical foundation when compared to the Keynesian models which are traditionally used for policy analysis and forecasting. Although a lot has been done to improve the empirical properties of DSGE models, there is still a need for further research in this field. In this book, the author first considers a closed economy general equilibrium framework to empirically validate the alternative mechanisms for introducing nominal rigidities. As the comparison is done in the context of the Euro area aggregate data, the results provide guidance to researchers dealing with estimation of Euro area DSGE models in general. In the second part of the book, a coherent economic and statistical framework that approximates the structure of the EMU and explicitly accounts for the historical monetary regime change is presented. In such a framework the disaggregate information on the Euro area can be utilized, so that one can explain the area-wide aggregates, and also examine the cross-region linkages.
Author: Rossana Merola
Author: Rossana Merola
Author: Marzie Taheri Sanjani
Author: Edward P. Herbst
Author: 
Author: Marco Ratto
Author: Nathan Balke
Author: John Geweke
Author: Malin Adolfson
Author: Ernest Pytlarczyk
Author: Richard Harrison