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Staff Reports

Dynamic Hierarchical Factor Models

December 2009 Number 412

JEL classification: C10, C20, C30

Authors: Emanuel Moench, Serena Ng, and Simon Potter

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.

Available only in PDF pdf

17 pages / 201 kb

For a published version of this report, see Emanuel Moench, Serena Ng, and Simon Potter, "Dynamic Hierarchical Factor Models," Review of Economics and Statistics 95, no. 5 (December 2013): 1811-17.

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