Semi-structural models and inflation forecasting: Bank of Canada paper

bank-of-canada-2

Semi-structural single equation models do a better at forecasting inflation that other strictly structural and conventional time series models, research published Monday by the Bank of Canada finds.

Maral Kichian, Fabio Rumler and Paul Corrigan, the authors of 'Semi-structural models for inflation forecasting,' use a New Keynesian Phillips Curve in their semi-structural models. They opt for identification robust methods to estimate important structural markers given the the identification

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@centralbanking.com or view our subscription options here: http://subscriptions.centralbanking.com/subscribe

You are currently unable to copy this content. Please contact info@centralbanking.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Central Banking? View our subscription options

Register for Central Banking

All fields are mandatory unless otherwise highlighted

This address will be used to create your account

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Central Banking account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account

.