Autoregression-based estimation of the new Keynesian Phillips curve

Markku Lanne and Jani Luoto

Journal of Economic Dynamics and Control, 2013, vol. 37, issue 3, 561-570

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.

Keywords: Noncausal time series; Non-Gaussian time series; Inflation; Phillips curve (search for similar items in EconPapers)
JEL-codes: C22 C51 E31 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165188912001923
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Autoregression-Based Estimation of the New Keynesian Phillips Curve (2011)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:37:y:2013:i:3:p:561-570

DOI: 10.1016/j.jedc.2012.09.008

Access Statistics for this article

Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok

More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().