Dynamic Factor Models with Jagged Edge Panel Data: Taking on Board the Dynamics of the Idiosyncratic Components. (21st December 2012)

• Record Type: Journal Article
• Authors: Pinheiro, Maximiano; Rua, António; Dias, Francisco
• Is Part Of: Oxford bulletin of economics and statistics. Volume 75:Number 1(2013:Feb.)
• Page Start: 80
• Page End: 102
• Publication Date: 2012-12-21
• Subjects: Economic history -- Periodicals; Great Britain -- Economic conditions -- Periodicals; 330.9
• DOI: 10.1111/obes.12006
• Languages: English
• ISSNs: 0305-9049

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>As macroeconomic data are released with different delays, one has to handle unbalanced panel data sets with missing values at the end of the sample period when estimating dynamic factor models. We propose an EM algorithm which copes with such data sets while accounting for autoregressive common factors and allowing for serial correlation in the idiosyncratic components. Based on Monte Carlo simulations, we find that taking on board the dynamics of the idiosyncratic components improves significantly the accuracy of the estimation of both the missing values and the common factors at the end of the sample period.</p> </abstract>