BIROn - Birkbeck Institutional Research Online

Identification of new Keynesian Phillips curves from a global perspective

Dees, S. and Pesaran, M.H. and Smith, L.V. and Smith, Ron P. (2009) Identification of new Keynesian Phillips curves from a global perspective. Journal of Money, Credit and Banking 41 (7), pp. 1481-1502. ISSN 0022-2879.

[img]
Preview
Text
1987.pdf

Download (492kB) | Preview

Abstract

This paper is concerned with the estimation of New Keynesian Phillips Curves (NKPC) and focuses on two issues: the weak instrument problem and the characterization of the steady states. It proposes some solutions from a global perspective. Using a global vector autoregressive (GVAR) model steady states are estimated as long-horizon expectations and valid instruments are constructed from the global variables as weighted averages. The proposed estimation strategy is illustrated using estimates of the NKPC for eight developed industrial countries. The GVAR generates global factors that are valid instruments and help alleviate the weak instrument problem. The steady states also reflect global influences and any long-run theoretical relationships that might prevail within and across countries in the global economy. The GVAR measure of the steady state performed better than the HP measure, and the use of foreign instruments substantially increased the precision of the estimates of the output coefficient.

Metadata

Item Type: Article
Keyword(s) / Subject(s): steady states, long-horizon expectations, global VAR, identification, New Keynesian Phillips Curve, trend-cycle decomposition
School: Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School
Research Centres and Institutes: Applied Macroeconomics, Birkbeck Centre for, Innovation Management Research, Birkbeck Centre for
Depositing User: Administrator
Date Deposited: 01 Dec 2010 09:44
Last Modified: 12 Jun 2025 00:23
URI: https://eprints.bbk.ac.uk/id/eprint/1987

Statistics

6 month trend
770Downloads
6 month trend
534Hits

Additional statistics are available via IRStats2.

Archive Staff Only (login required)

Edit/View Item
Edit/View Item