A CRITERION FOR THE NUMBER OF FACTORS IN A DATA-RICH ENVIRONMENT
Thursday 25 August 2011, 15:00 - 17:45
Quick Links: Programme Overview • Contributed Session 1 • Factor Models
| Session: | Factor Models |
| Category: | ESEM |
| Chaired By: | Lucia Alessi, European Central Bank |
| When & Where: | Thursday 25 August 2011, 15:00 - 17:45, 7 P.A. Munch, room 5 |
| Presented By: | pieter otter, university of Groningen |
| Co-Author(s): | jan jacobs, University of Groningen and Ard Den Reijer, Sveriges Riksbank |
Recently, Onatski (2009) provided a formal justication for the use
of the scree test in determining the number of factors in large factor
models. We derive a criterion for the determination of the number of
factors, that is associated with Onatski's test statistic but does not rely
on frequency domain analysis. Monte Carlo experiments compare the
nite-sample properties of our criterion to Bai and Ng (2007), Hallin
and Liska (2007) and Onatski (2009), and show that our criterion is
superior. An application with the U.S. macroeconomic data set of
Stock and Watson (2005) illustrates our procedure.
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