Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/84703
Authors: 
Gilhooly, Robert
Weale, Martin
Wieladek, Tomasz
Year of Publication: 
2012
Series/Report no.: 
External MPC Unit Discussion Paper 38
Abstract: 
We propose a Bayesian approach to dynamic panel estimation in the presence of cross-sectional dependence and dynamic heterogeneity which is suitable for inference in short panels, unlike alternative estimators. Monte Carlo simulations indicate that our estimator produces less bias, and a lower root mean squared error, than existing estimators. The method is illustrated by estimating a panel VAR on sector level data for labour productivity and hours worked growth for Canada, Germany, France, Italy, the UK and the US from 1992 Q1 to 2011 Q3. We use historical decompositions to examine the determinants of recent output growth in each country. This exercise demonstrates that failure to take cross-sectional dependence into account leads to highly misleading results.
Subjects: 
Bayesian dynamic panel estimator
dynamic heterogeneity
cross-sectional dependence
labour productivity.
JEL: 
C11
C31
C33
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.