Bhaduri, Saumitra and Sethudurai, Raja (2013): Non-Linear Taylor Rule through Threshold Estimation.
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This paper tries to identify non-linearity in the estimation of Taylor type reaction function for Reserve Bank of India using a threshold estimation technique of Hansen (2000). For the monthly data from March 2001 to October 2009 with Repo rate as the policy rate the estimation significantly identifies two thresholds with inflation and one threshold with output gap as threshold variables. We compared this model with that of a naïve univariate model and the typical Taylor type reaction function, the results are in support of the non-linear model in predicting the repo rate at turning points with more accuracy than the other two competing models.
|Item Type:||MPRA Paper|
|Original Title:||Non-Linear Taylor Rule through Threshold Estimation|
|English Title:||Non-Linear Taylor Rule through Threshold Estimation|
|Keywords:||Policy reaction function, threshold estimation, Taylor rule|
|Subjects:||E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit
E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy
E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies
|Depositing User:||Saumitra Bhaduri|
|Date Deposited:||08. Mar 2013 14:12|
|Last Modified:||13. Jul 2013 19:25|
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