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An Estimated DSGE Model of the Indian Economy

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Abstract

We develop a closed-economy DSGE model of the Indian economy and estimate it by Bayesian Maximum Likelihood methods using Dynare. We build up in stages to a model with a number of features important for emerging economies in general and the Indian economy in particular: a large proportion of credit-constrained consumers, a financial accelerator facing domestic firms seeking to finance their investment, and an informal sector. The simulation properties of the estimated model are examined under a generalized inflation targeting Taylor-type interest rate rule with forward and backward-looking components. We find that, in terms of model posterior probabilities and standard moments criteria, inclusion of the above financial frictions and an informal sector significantly improves the model fit.

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Bibliographic Info

Paper provided by NIPE - Universidade do Minho in its series NIPE Working Papers with number 29/2010.

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Date of creation: 2010
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Handle: RePEc:nip:nipewp:29/2010

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Postal: Núcleo de Investigação em Políticas Económicas, Escola de Economia e Gestão, Universidade do Minho, P-4710-057 Braga, Portugal
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Web page: http://www3.eeg.uminho.pt/economia/nipe/versao_inglesa/index_uk.htm
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Keywords: Indian economy; DSGE model; Bayesian estimation; monetary interest rate rules; financial frictions.;

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Cited by:
  1. Paul Levine, 2012. "Policy focus: Monetary policy in an uncertain world: probability models and the design of robust monetary rules," Indian Growth and Development Review, Emerald Group Publishing, vol. 5(1), pages 70-88, April.
  2. Haider, Adnan & Din, Musleh-ud & Ghani, Ejaz, 2012. "Monetary policy, informality and business cycle fluctuations in a developing economy vulnerable to external shocks," MPRA Paper 42484, University Library of Munich, Germany.
  3. Cristiano Cantore & Paul Levine, 2011. "Getting Normalization Right: Dealing with 'Dimensional Constants' in Macroeconomics," School of Economics Discussion Papers 0511, School of Economics, University of Surrey.
  4. Zhicheng Zhou & Prapatchon Jariyapan, 2013. "The impact of macroeconomic policies to real estate market in People's Republic of China," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 75 - 92, September.
  5. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
  6. Ahmed, Waqas & Rehman, Muhammad & Malik, Jahanzeb, 2013. "Quarterly Bayesian DSGE Model of Pakistan Economy with Informality," MPRA Paper 53168, University Library of Munich, Germany.
  7. Jesús Botero G. & Christian Vargas & Álvaro Hurtado Rendón & Humberto Franco, 2014. "Informality and formality: Fiscal policy in DSGE model," DOCUMENTOS DE TRABAJO CIEF 010925, UNIVERSIDAD EAFIT.

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