Occasionally Binding Constraints in Large Models

Occasionally Binding Constraints in Large Models PDF Author: Jonathan Swarbrick
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 47

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Book Description

Occasionally Binding Constraints in Large Models

Occasionally Binding Constraints in Large Models PDF Author: Jonathan Swarbrick
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 47

Get Book Here

Book Description


Occasionally Binding Constraints in Large Models

Occasionally Binding Constraints in Large Models PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
'This practical review assesses several approaches to solving medium- and large-scale dynamic stochastic general equilibrium (DSGE) models featuring occasionally binding constraints. In such models, global solution methods are not possible because of the curse of dimensionality. This causes the modeller to look elsewhere for methods that can handle the significant non-linearities and non-differentiable functions that inequality constraints represent. The paper discusses methods-including Newton-type solvers under perfect foresight, the piecewise linear algorithm (OccBin), regime-switching models (RISE) and the news shocks approach (DynareOBC) - and compares the results from a simple borrowing constraints model obtained using projection methods, providing example MATLAB code. The study focuses on the news shocks method, which I find produces higher accuracy than other methods and allows the modeller to study multiple equilibria and determinacy issues'--Abstract, page ii.

OccBin

OccBin PDF Author: Luca Guerrieri
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Efficient Solution and Computation of Models with Occasionally Binding Constraints

Efficient Solution and Computation of Models with Occasionally Binding Constraints PDF Author: Gregor Böhl
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Structural macroeconometric analysis and new HANK-type models with extremely high dimensionality require fast and robust methods to efficiently deal with occasionally binding constraints (OBCs), especially since major developed economies have again hit the zero lower bound on nominal interest rates. This paper shows that a linear dynamic rational expectations system with OBCs, depending on the expected duration of the constraint, can be represented in closed form. Combined with a set of simple equilibrium conditions, this can be exploited to avoid matrix inversions and simulations at runtime for significant gains in computational speed. An efficient implementation is provided in Python programming language. Benchmarking results show that for medium-scale models with an OBC, more than 150,000 state vectors can be evaluated per second. This is an improvement of more than three orders of magnitude over existing alternatives. Even state evaluations of large HANK-type models with almost 1000 endogenous variables require only 0.1 ms.

Modelling Occasionally Binding Constraints Using Regime-Switching

Modelling Occasionally Binding Constraints Using Regime-Switching PDF Author: Andrew Binning
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Estimation of Dynamic Models with Occasionally Binding Constraints

Estimation of Dynamic Models with Occasionally Binding Constraints PDF Author: Tom Holden
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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We present an algorithm for estimating non-linear dynamic models, including those featuring occasionally binding constraints. The algorithm extends the Cubature Kalman Filter of Arasaratnam and Haykin (2009) with dynamic state space reduction, to give adequate speed in the presence of occasionally binding constraints, and to ensure that it can handle the large state spaces generated by pruned perturbation solutions to medium-scale DSGE models. We further extend the base algorithm to allow for alternative cubature procedures to improve the tracking of non-linearities. The algorithm relies on the solution method for models with occasionally binding constraints of Holden (2016b). We illustrate that the method can solve some of the identification problems that plague linearized DSGE models.

Macroprudential Policy and Practice

Macroprudential Policy and Practice PDF Author: Paul Mizen
Publisher: Cambridge University Press
ISBN: 1108419909
Category : Business & Economics
Languages : en
Pages : 325

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Book Description
A guide to the latest theoretical developments in macroprudential policy, the newest tool in central banking policymaking circles.

Occasionally Binding Liquidity Constraints and Macroeconomic Dynamics

Occasionally Binding Liquidity Constraints and Macroeconomic Dynamics PDF Author: Maximilian Werner
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Crisis dynamics are nonlinear. What drives nonlinearities in modern macroeconomic models? Building on global methods, the present paper isolates the effects associated with an occasionally binding constraint in a widely discussed macro-finance framework. Only the proper computational treatment provides a holistic understanding of the (hidden) economics in tail events, and the full reflection of large and consecutive shocks in economic forecasts. An improper treatment provides an overestimation of asset pricing dynamics and a misleading association between high levels of capital and liquidity and high levels of investment.

Algorithms for Solving Dynamic Models with Occasionally Binding Constraints

Algorithms for Solving Dynamic Models with Occasionally Binding Constraints PDF Author: Lawrence J. Christiano
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 68

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Behavioural Macroeconomics

Behavioural Macroeconomics PDF Author: Paul De Grauwe
Publisher:
ISBN: 019883232X
Category : Macroeconomics
Languages : en
Pages : 273

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Book Description
Modern macroeconomics has been based on the paradigm of the rational individual capable of understanding the complexity of the world. This has created a very shallow theory of the business cycle in which nothing happens in the macroeconomy unless shocks occur from outside. Behavioural Macroeconomics: Theory and Policy uses a different paradigm. It assumes that individual agents experience cognitive limitations preventing them from having rational expectations. Instead these individuals use simple rules of behaviour. Behavioural Macroeconomics introduces rationality by allowing individuals to learn from their mistakes and to switch to the rules that perform better. It introduces the idea of endogenously generated "animals spirits" that drive the business cycle and are in turn influenced by it, and applies this model to shed new light on a number of important issues. It analyses the role of fiscal policy in stabilizing the economy while maintaining debt sustainability; expands the model to include a banking sector and show how banks amplify the booms and busts; and explains how animal spirits help to synchronize the business cycles across countries. The model set out in Behavioural Macroeconomics leads to very different policy implications from the mainstream macroeconomic model. It shows how policymakers have a responsibility to stabilize an otherwise unstable system.