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Inference and Forecasting Based on the Phillips Curve
Author(s) -
Kunho Kim,
Suna Park
Publication year - 2016
Publication title -
kdi journal of economic policy
Language(s) - English
Resource type - Journals
eISSN - 1976-6904
pISSN - 1738-656X
DOI - 10.23895/kdijep.2016.38.2.1
Subject(s) - inference , econometrics , phillips curve , computer science , economics , artificial intelligence , keynesian economics , monetary policy
In this paper, we conduct uniform inference of two widely used versions of the Phillips curve, specifically the random-walk Phillips curve and the New-Keynesian Phillips curve (NKPC). For both specifications, we propose a potentially time-varying natural unemployment (NAIRU) to address the uncertainty surrounding the inflation-unemployment trade-off. The inference is conducted through the construction of what is known as the uniform confidence band (UCB). The proposed methodology is then applied to point-ahead inflation forecasting for the Korean economy. This paper finds that the forecasts can benefit from conducting UCB-based inference and that the inference results have important policy implications.

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