An Estimated Model with Macrofinancial Linkages for India
Magnus Saxegaard,
Rahul Anand and
Shanaka Peiris
No 2010/021, IMF Working Papers from International Monetary Fund
Abstract:
This paper develops a small open economy dynamic stochastic general-equilibrium model with macrofinancial linkages. The model includes a financial accelerator--entrepreneurs are assumed to partially finance investment using domestic and foreign currency debt--to assess the importance of financial frictions in the amplification and propagation of the effects of transitory shocks. We use Bayesian estimation techniques to estimate the model using India data. The model is used to assess the importance of the financial accelerator in India and the optimality of monetary policy.
Keywords: WP; monetary policy; rate of depreciation; financial accelerator; macro-financial linkages; optimal policy; bayesian estimation; adjustment cost parameter; inflation volatility; WPI inflation; reaction function; open economy; inflation-if monetary policy; monetary policy shock; capital producer; acquisition cost; cost adjustment cost parameter; consumer welfare; Self-employment; Inflation; Exchange rates; Consumption; Depreciation; Global (search for similar items in EconPapers)
Pages: 45
Date: 2010-01-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (35)
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=23529 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:imf:imfwpa:2010/021
Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm
Access Statistics for this paper
More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().