Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/82401
Authors: 
Lindé, Jesper
Year of Publication: 
2001
Series/Report no.: 
Sveriges Riksbank Working Paper Series 129
Abstract: 
The New-Keynesian Phillips curve has recently become an important ingredient in monetary policy models. However, using limited information methods, the empirical support for the New-Keynesian Phillips curve appear to be mixed. This paper argues, by means of Monte Carlo simulations with a simple New-Keynesian sticky price model, that single equations methods, e.g. GMM, are likely to produce imprecise and biased estimates. Then, it is argued that estimating the model with full information maximum likelihood (FIML) is a useful way of obtaining better estimates. Finally, a version of the model used in the Monte Carlo simulations is estimated on U.S. data with FIML and although the pure forward-looking New-Keynesian Phillips curve is rejected, a version with both forward- and backward-looking components provides a reasonable approximation of U.S. inflation dynamics.
Subjects: 
Monetary policy rule
New-Keynesian Phillips curve
Rational expectations IS-curve
Backward-looking Phillips curve
Measurement errors
Full Information Maximum Likelihood estimation
JEL: 
C22
C52
E52
Document Type: 
Working Paper

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