Author: Benjamin M. FriedmanPublisher:
ISBN:
Category : Economics
Languages : en
Pages : 0
Book Description
Handbook of Monetary Economics
Author: Benjamin M. FriedmanPublisher:
ISBN:
Category : Economics
Languages : en
Pages : 0
Book Description
DSGE models for monetary policy analysis
Author: Lawrence J. ChristianoPublisher:
ISBN:
Category : Economics
Languages : en
Pages : 74
Book Description
Monetary DSGE models are widely used because they fit the data well and they can be used to address important monetary policy questions. We provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The chapter describes and implements Bayesian moment matching and impulse response matching procedures for this purpose.
DSGE Models for Monetary Policy Analysis
Author: Lawrence J. ChristianoPublisher:
ISBN:
Category :
Languages : en
Pages : 94
Book Description
Monetary DSGE models are widely used because they fit the data well and can be used to address important monetary policy questions. We provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The paper describes and implements Bayesian moment matching and impulse response matching procedures for this purpose.
An Estimated DSGE Model for Monetary Policy Analysis in Low-Income Countries
Author: Shanaka J. PeirisPublisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 38
Book Description
This paper evaluates monetary policy-tradeoffs in low-income countries using a dynamic stochastic general equilibrium (DSGE) model estimated on data for Mozambique taking into account the sources of major exogenous shocks, and level of financial development. To our knowledge this is a first attempt at estimating a DSGE model for Sub-Saharan Africa excluding South Africa. Our simulations suggests that a exchange rate peg is significantly less successful than inflation targeting at stabilizing the real economy due to higher interest rate volatility, as in the literature for industrial countries and emerging markets.
DSGE Models in Macroeconomics
Author: Nathan BalkePublisher: Emerald Group Publishing
ISBN: 1781903069
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
Financial Crises in DSGE Models
Author: Mr.Jaromir BenesPublisher: International Monetary Fund
ISBN: 1475524986
Category : Business & Economics
Languages : en
Pages : 59
Book Description
This paper presents the theoretical structure of MAPMOD, a new IMF model designed to study vulnerabilities associated with excessive credit expansions, and to support macroprudential policy analysis. In MAPMOD, bank loans create purchasing power that facilitates adjustments in the real economy. But excessively large and risky loans can impair balance sheets and sow the seeds of a financial crisis. Banks respond to losses through higher spreads and rapid credit cutbacks, with adverse effects for the real economy. These features allow the model to capture the basic facts of financial cycles. A companion paper studies the simulation properties of MAPMOD.
Monetary and Fiscal Policy through a DSGE Lens
Author: Harold L. ColePublisher: Oxford University Press
ISBN: 0190076062
Category : Business & Economics
Languages : en
Pages : 277
Book Description
In Monetary and Fiscal Policy Through a DSGE Lens, Harold L. Cole develops and extends versions of a classic quantitative model of economic growth to take on a wide range of topics in monetary and fiscal policy. Bridging the gap between current undergraduate and graduate texts in the field, this comprehensive book covers the basic elements of advanced macroeconomics and equips readers to understand the debate on key policy questions. By using the simple DSGE, or dynamic stochastic general equilibrium, framework to build a series of quantitative models, the book combines a gradual introduction to advanced analytic methods with computer programming and quantitative policy analysis. In a clear discussion of the sophisticated interaction between theory and data, Cole explains how to gauge how well a model captures key elements in the data and how to reverse engineer a model to data. The book covers costs of inflation, optimal monetary policy, the impact of labor and capital taxes, and optimal fiscal policy. It systematically discusses technical material including the new Keynesian liquidity shock models, standard analytic methods, such as Lagrangian methods, and computational methods using Matlab and Python. With a strong computational emphasis, the volume teaches how to program up and solve systems of non-linear equations and develop models to study the macroeconomy. Knowing how to deeply understand and analyze models and develop computational code to evaluate the implications of those models is essential for students of macroeconomics. This book connects the standard undergraduate material to the elaborate models of advanced graduate courses with systematic and logical coverage of the basics of advanced modern macroeconomics.
Assessing Dsge Models with Capital Accumulation and Indeterminacy
Author: Mr.Vadim KhramovPublisher: International Monetary Fund
ISBN: 1475582463
Category : Business & Economics
Languages : en
Pages : 36
Book Description
The simulated results of this paper show that New Keynesian DSGE models with capital accumulation can generate substantial persistencies in the dynamics of the main economic variables, due to the stock nature of capital. Empirical estimates on U.S. data from 1960:I to 2008:I show the response of monetary policy to inflation was almost twice lower than traditionally considered, as capital accumulation creates an additional channel of influence through real interest rates in the production sector. Versions of the model with indeterminacy empirically outperform determinate versions. This paper allows for the reconsideration of previous findings and has significant monetary policy implications.
Bayesian Estimation of DSGE Models
Author: Edward P. HerbstPublisher: 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.
Monetary Policy Analysis with Potentially Misspecified Models
Author: Marco Del NegroPublisher:
ISBN:
Category : Equilibrium (Economics)
Languages : en
Pages : 54
Book Description
Policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE) models faces two challenges: estimation of parameters that are relevant for policy trade-offs and treatment of estimated deviations from the cross-equation restrictions. This paper develops and explores policy analysis approaches that are either based on a generalized shock structure for the DSGE model or the explicit modelling of deviations from cross-equation restrictions. Using post-1982 U.S. data we first quantify the degree of misspecification in a state-of-the-art DSGE model and then document the performance of different interest-rate feedback rules. We find that many of the policy prescriptions derived from the benchmark DSGE model are robust to the various treatments of misspecifications considered in this paper, but that quantitatively the cost of deviating from such prescriptions varies substantially.