|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data|
|Citation:||Byrne J, Kontonikas A & Montagnoli A (2013) International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data, Journal of Money, Credit and Banking, 45 (5), pp. 913-932.|
|Abstract:||We present a unique empirical analysis of the properties of the New Keynesian Phillips Curve (NKPC) using an international data set of aggregate and disaggregate sectoral inflation. Our results from panel time-series estimation clearly indicate that sectoral heterogeneity has important consequences for aggregate inflation behavior. Heterogeneity helps to explain the overestimation of inflation persistence and underestimation of the role of marginal costs in empirical investigations of the NKPC that use aggregate data. We find that combining disaggregate information with heterogeneous-consistent estimation techniques helps to reconcile, to a large extent, the NKPC with the data.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|International Evidence on the New Keynesian Phillips Curve.pdf||126.39 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.