Medel, Carlos (2015): Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile.
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Abstract
It is recognised that the understanding and accurate forecasts of key macroeconomic variables are fundamental for the success of any economic policy. In the case of monetary policy, many efforts have been made towards understanding the relationship between past and expected values of inflation, resulting in the so-called Hybrid Neo-Keynesian Phillips Curve (HNKPC). In this article I investigate to which extent the HNKPC help to explain inflation dynamics as well as its out-of-sample forecast, for the case of the Chilean economy. The results show that the forward-looking component is significative and accounts from 1.58 to 0.40 times the lagged inflation coefficient. Also, I find predictive gains close to 45% (respect to a backward-looking specification) and up to 80% (respect to the random walk) when forecasting at 12-months ahead.
Item Type: | MPRA Paper |
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Original Title: | Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile |
Language: | English |
Keywords: | New Keynesian Phillips Curve; inflation forecast; out-of-sample comparisons; survey data; real-time dataset |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E47 - Forecasting and Simulation: Models and Applications |
Item ID: | 62609 |
Depositing User: | Carlos A. Medel |
Date Deposited: | 06 Mar 2015 08:06 |
Last Modified: | 01 Oct 2019 13:51 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/62609 |