Identification-Robust Minimum Distance Estimation of the New Keynesian Phillips Curve
AbstractLimited-information identification-robust methods on the indexation and price rigidity parameters of the new Keynesian Phillips curve yield very wide confidence intervals. Full-information methods impose more restrictions on the reduced-form dynamics, and thus make more efficient use of the information in the data. We propose identification-robust minimum distance methods for exploiting these additional restrictions and show that they yield considerably smaller confidence intervals for the coefficients of the model compared to their limited-information GMM counterparts. In contrast to previous studies that used GMM, we find evidence of partial but not full indexation, and we obtain sharper inference on the degree of price stickiness.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Tulane University, Department of Economics in its series Working Papers with number 0904.
Length: 20 pages
Date of creation: Feb 2009
Date of revision:
weak identification; minimum distance; GMM; Phillips curve;
Other versions of this item:
- Leandro M. Magnusson & Sophocles Mavroeidis, 2010. "Identification-Robust Minimum Distance Estimation of the New Keynesian Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 465-481, 03.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-02-22 (All new papers)
- NEP-CBA-2009-02-22 (Central Banking)
- NEP-ECM-2009-02-22 (Econometrics)
- NEP-MAC-2009-02-22 (Macroeconomics)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Hyeongwoo Kim, Ippei Fujiwara, Bruce E. Hansen, Masao Ogaki, 2013.
"Purchasing power parity and the Taylor rule,"
AJRC Working Papers
1305, Australia-Japan Research Centre, Crawford School of Public Policy, The Australian National University.
- Hyeongwoo Kim & Masao Ogaki, 2011. "Purchasing Power Parity and the Taylor Rule," Auburn Economics Working Paper Series auwp2011-02, Department of Economics, Auburn University.
- Masao Ogaki & Hyeongwoo Kim, 2009. "Purchasing Power Parity and the Taylor Rule," Working Papers 09-03, Ohio State University, Department of Economics.
- Hyeongwoo Kim & Ippei Fujiwara & Bruce E. Hansen & Masao Ogaki, 2013. "Purchasing Power Parity and the Taylor Rule," CAMA Working Papers 2013-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Mariano Kulish & Adrian Pagan, 2013.
"Issues in Estimating New Keynesian Phillips Curves in the Presence of Unknown Structural Change,"
NCER Working Paper Series
94, National Centre for Econometric Research.
- Mariano Kulish & Adrian Pagan, 2013. "Issues in Estimating New-Keynesian Phillips Curves in the Presence of Unknown Structural Change," RBA Research Discussion Papers rdp2013-11, Reserve Bank of Australia.
- Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
- Antonio Diez de los Rios, 2013. "A New Linear Estimator for Gaussian Dynamic Term Structure Models," Working Papers 13-10, Bank of Canada.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Keith Finlay).
If references are entirely missing, you can add them using this form.