Dynamic Hierarchical Factor Models
17 Pages Posted: 15 Dec 2009 Last revised: 31 Jul 2011
Date Written: July 26, 2011
Abstract
This paper uses multi-level factor models to characterize within- and between-block variations as well as idiosyncratic noise in large dynamic panels. Block-level shocks are distinguished from genuinely common shocks, and the estimated block-level factors are easy to interpret. The framework achieves dimension reduction and yet explicitly allows for heterogeneity between blocks. The model is estimated using an MCMC algorithm that takes into account the hierarchical structure of the factors. A four-level model is estimated to study block- and aggregate-level dynamics in a panel of 445 series related to different categories of real activity in the United States. The model illustrates the importance of block-level variations in the data.
Keywords: forecasting, monitoring, comovements, large dimensional panel, diffusion index
JEL Classification: C10, C20, C30
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Shocking Aspects of European Monetary Unification
By Tamim Bayoumi and Barry Eichengreen
-
International Business Cycles: World, Region, and Country-Specific Factors
By M. Ayhan Kose, Chris Otrok, ...
-
Understanding Changes in International Business Cycle Dynamics
By James H. Stock and Mark W. Watson
-
Trade, Finance, Specialization and Synchronization
By Jean M. Imbs
-
Trade, Finance, Specialization and Synchronization
By Jean M. Imbs
-
Trade, Finance, Specialization, and Synchronization
By Jean M. Imbs
-
Risk Sharing and Industrial Specialization: Regional and International Evidence
By Bent E. Sørensen, Sebnem Kalemli-ozcan, ...
-
Sectoral and National Aggregate Disturbances to Industrial Output in Seven European Countries