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DSGE-RD

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Estimating a DSGE Model with Rare Disasters

"This project will estimate a DSGE model with rare disasters using data from the Great Recession. Previous studies on rare disasters have been confined mainly to endowment economies. Extensions to production economies (business cy... ver más

31/07/2020

REICHMAN UNIVERSIT...

263K€

Presupuesto del proyecto: 263K€

Líder del proyecto

REICHMAN UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-07-31

MSCA-IF-2016: Individual Fellowships

I+D

Cerrada hace 8 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

3 Participantes

REICHMAN UNIVERSITY

263.39K€ | Lider

THE TRUSTEES OF THE UNIVERSI...

PENN

172.13K€ | Participante

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Duración del proyecto: 40 meses Fecha Inicio: 2017-03-22
Fecha Fin: 2020-07-31

Líder del proyecto

REICHMAN UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 263K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "This project will estimate a DSGE model with rare disasters using data from the Great Recession. Previous studies on rare disasters have been confined mainly to endowment economies. Extensions to production economies (business cycle models) have been limited. In particular, DSGE models with rare disasters have not been estimated before. The main obstacle is computational, as these models are very difficult to solve. In a recent paper with Jesus Fernandez-Villaverde we have shown that the computational problem can be resolved by a new solution method called ""Taylor Projection"", which is derived in my paper Levintal (2016). This method is able to solve large DSGE models with rare disasters in a few seconds only. This opens up the possibility of estimating rich DSGE models with rare disasters and conducting policy analysis. The project will implement the new ""Taylor Projection"" method to solve and estimate a DSGE model with rare disasters for the period of the Great Recession. This will require to extend the current solution method to allow for a ZLB constraint on the interest rate and for Markov-switching parameters, as described in the proposal. An estimated model with rare disasters may help to explain the extraordinary dynamics of the Great Recession. We conjecture that the interaction of a big macroeconomic shock (disaster shock) with the ZLB constraint played a significant role in the recession. The question is what kind of a shock generated the recession. Was it a permanent drop in long term growth, as suggested by the ""Secular Stagnation"" hypothesis of Summers (2014)? or an uncertainty shock that increased the demand for safe assets, in line with the ""Safe Assets"" view of Caballero and Farhi (2014)? or a combination of both? The proposed project will shed light on these questions by studying the Great Recession through an estimated DSGE model with rare disasters. "

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