Quantitative implications of the credit constraint in the Kiyotaki-Moore (1997) setup
The Kiyotaki-Moore (1997) framework is a prominent macro model that features credit constraints as an important factor that propagates and magnifies the effects of shocks. However, the quantitative importance of these constraints in this setup remains an open question. This paper introduces the Kiyo...
- Autores:
-
Arias Leiva, Andrés Felipe
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2003
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/8547
- Acceso en línea:
- http://hdl.handle.net/1992/8547
- Palabra clave:
- Amplification
Credit constraint
Credit multipliers
Financial accelerator
Crédito - Modelos matemáticos
E32, E44, G21
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Summary: | The Kiyotaki-Moore (1997) framework is a prominent macro model that features credit constraints as an important factor that propagates and magnifies the effects of shocks. However, the quantitative importance of these constraints in this setup remains an open question. This paper introduces the Kiyotaki-Moore (1997) setup into an otherwise standard dynamic general equilibrium model to explore the quantitative properties of credit constraints. I take a Hansen (1985)- type RBC model and introduce a banking sector that intermediates savings and investment. After calibrating the model to post1959 U.S. data, I evaluate the propagation and magnification effects of a standard TFP shock to the aggregate economy. I find that the quantitative importance is very small. I then ask if the propagation and magnification effects are stronger if the shock originates in the banking sector. I therefore introduce TFP shocks into financial intermediation. I find that the constraints are also quantitatively unimportant. I conclude that the quantitative significance of the credit constraint in the Kiyotaki-Moore setup is small. The reason underlying this result has to do, theoretically, with asset market dynamics and, empirically, with the low participation of loans in economic activity in the U.S. |
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