Lanne, Markku and Luoto, Jani (2011): Autoregression-Based Estimation of the New Keynesian Phillips Curve.
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Abstract
We propose an estimation method of the new Keynesian Phillips curve (NKPC) based on a univariate noncausal autoregressive model for the inflation rate. By construction, our approach avoids a number of problems related to the GMM estimation of the NKPC. We estimate the hybrid NKPC with quarterly U.S. data (1955:1-2010:3), and both expected future inflation and lagged inflation are found important in determining the inflation rate, with the former clearly dominating. Moreover, inflation persistence turns out to be intrinsic rather than inherited from a persistent driving process.
Item Type: | MPRA Paper |
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Original Title: | Autoregression-Based Estimation of the New Keynesian Phillips Curve |
Language: | English |
Keywords: | Noncausal time series; Non-Gaussian time series; inflation; Phillips curve |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 29801 |
Depositing User: | Markku Lanne |
Date Deposited: | 31 Mar 2011 07:46 |
Last Modified: | 01 Oct 2019 22:40 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/29801 |